def solve_nonlinear(self, params, unknowns, resids):
""" Calculate output. """
# Only need to do this once.
if self.deriv_cached == False:
t1 = params['t1']
t2 = params['t2']
n = self.n
self.B = MBI(np.zeros(n), [np.linspace(t1, t2, n)], [self.m],
[4]).getJacobian(0, 0)
self.Bdot = MBI(np.zeros(n), [np.linspace(t1, t2, n)], [self.m],
[4]).getJacobian(1, 0)
self.BT = self.B.transpose()
self.BdotT = self.Bdot.transpose()
self.deriv_cached = True
unknowns['P_comm'] = self.B.dot(params['CP_P_comm'])
unknowns['Gamma'] = self.B.dot(params['CP_gamma'])
for k in range(12):
unknowns['Isetpt'][k, :] = self.B.dot(params['CP_Isetpt'][k, :])
def solve_nonlinear(self, params, unknowns, resids):
""" Calculate output. """
# Only need to do this once.
if self.deriv_cached == False:
t1 = params['t1']
t2 = params['t2']
n = self.n
self.B = MBI(np.zeros(n), [np.linspace(t1, t2, n)],
[self.m], [4]).getJacobian(0, 0)
self.Bdot = MBI(np.zeros(n), [np.linspace(t1, t2, n)],
[self.m], [4]).getJacobian(1, 0)
self.BT = self.B.transpose()
self.BdotT = self.Bdot.transpose()
self.deriv_cached = True
unknowns['P_comm'] = self.B.dot(params['CP_P_comm'])
unknowns['Gamma'] = self.B.dot(params['CP_gamma'])
for k in range(12):
unknowns['Isetpt'][k, :] = self.B.dot(params['CP_Isetpt'][k, :])
def __init__(self, n, filename=None):
super(Power_CellVoltage, self).__init__()
self.n = n
if not filename:
fpath = os.path.dirname(os.path.realpath(__file__))
filename = fpath + '/data/Power/curve.dat'
dat = np.genfromtxt(filename)
nT, nA, nI = dat[:3]
nT = int(nT)
nA = int(nA)
nI = int(nI)
T = dat[3:3 + nT]
A = dat[3 + nT:3 + nT + nA]
I = dat[3 + nT + nA:3 + nT + nA + nI] # noqa: E741
V = dat[3 + nT + nA + nI:].reshape((nT, nA, nI), order='F')
self.MBI = MBI(V, [T, A, I], [6, 6, 15], [3, 3, 3])
self.x = np.zeros((84 * n, 3), order='F')
self.xV = self.x.reshape((n, 7, 12, 3), order='F')
self.dV_dL = np.zeros((n, 12), order='F')
self.dV_dT = np.zeros((n, 12, 5), order='F')
self.dV_dA = np.zeros((n, 7, 12), order='F')
self.dV_dI = np.zeros((n, 12), order='F')
def __init__(self, n, rawG=None):
super(Comm_GainPattern, self).__init__()
self.n = n
if rawG is None:
fpath = os.path.dirname(os.path.realpath(__file__))
rawGdata = np.genfromtxt(fpath + '/data/Comm/Gain.txt')
rawG = (10 ** (rawGdata / 10.0)).reshape((361, 361), order='F')
# Inputs
self.add_param('azimuthGS', np.zeros(n), units="rad",
desc="Azimuth angle from satellite to ground station in "
"Earth-fixed frame over time")
self.add_param('elevationGS', np.zeros(n), units="rad",
desc="Elevation angle from satellite to ground station "
"in Earth-fixed frame over time")
# Outputs
self.add_output('gain', np.zeros(n), units="unitless",
desc="Transmitter gain over time")
pi = np.pi
az = np.linspace(0, 2 * pi, 361)
el = np.linspace(0, 2 * pi, 361)
self.MBI = MBI(rawG, [az, el], [15, 15], [4, 4])
self.x = np.zeros((self.n, 2), order='F')
def __init__(self, n, filename=None):
super(Power_CellVoltage, self).__init__()
self.n = n
if not filename:
fpath = os.path.dirname(os.path.realpath(__file__))
filename = fpath + '/data/Power/curve.dat'
dat = np.genfromtxt(filename)
nT, nA, nI = dat[:3]
nT = int(nT)
nA = int(nA)
nI = int(nI)
T = dat[3:3 + nT]
A = dat[3 + nT:3 + nT + nA]
I = dat[3 + nT + nA:3 + nT + nA + nI] # noqa: E741
V = dat[3 + nT + nA + nI:].reshape((nT, nA, nI), order='F')
self.MBI = MBI(V, [T, A, I], [6, 6, 15], [3, 3, 3])
self.x = np.zeros((84 * n, 3), order='F')
self.xV = self.x.reshape((n, 7, 12, 3), order='F')
self.dV_dL = np.zeros((n, 12), order='F')
self.dV_dT = np.zeros((n, 12, 5), order='F')
self.dV_dA = np.zeros((n, 7, 12), order='F')
self.dV_dI = np.zeros((n, 12), order='F')
def __init__(self, n, rawG_file=None):
super(Comm_GainPattern, self).__init__()
self.n = n
if not rawG_file:
fpath = os.path.dirname(os.path.realpath(__file__))
rawG_file = fpath + '/data/Comm/Gain.txt'
rawGdata = np.genfromtxt(rawG_file)
rawG = (10**(rawGdata / 10.0)).reshape((361, 361), order='F')
pi = np.pi
az = np.linspace(0, 2 * pi, 361)
el = np.linspace(0, 2 * pi, 361)
self.MBI = MBI(rawG, [az, el], [15, 15], [4, 4])
self.x = np.zeros((self.n, 2), order='F')
def setup(self):
nn = self.options['num_nodes']
rawGdata = np.genfromtxt(self.options['rawG_file'])
rawG = (10**(rawGdata / 10.0)).reshape((361, 361), order='F')
pi = np.pi
az = np.linspace(0, 2 * pi, 361)
el = np.linspace(0, 2 * pi, 361)
self.MBI = MBI(rawG, [az, el], [15, 15], [4, 4])
self.MBI.seterr('raise')
self.x = np.zeros((nn, 2), order='F')
# Inputs
self.add_input(
'azimuthGS',
np.zeros(nn),
units='rad',
desc='Azimuth angle from satellite to ground station in '
'Earth-fixed frame over time')
self.add_input('elevationGS',
np.zeros(nn),
units='rad',
desc='Elevation angle from satellite to ground station '
'in Earth-fixed frame over time')
# Outputs
self.add_output('gain',
np.zeros(nn),
units=None,
desc='Transmitter gain over time')
row_col = np.arange(nn)
self.declare_partials('gain',
'elevationGS',
rows=row_col,
cols=row_col)
self.declare_partials('gain', 'azimuthGS', rows=row_col, cols=row_col)
def compute(self, inputs, outputs):
"""
Calculate outputs.
"""
# Only need to do this once.
if self.deriv_cached is False:
t1 = inputs['t1']
t2 = inputs['t2']
n = self.n
self.B = MBI(np.zeros(n), [np.linspace(t1, t2, n)], [self.m], [4]).getJacobian(0, 0)
self.Bdot = MBI(np.zeros(n), [np.linspace(t1, t2, n)], [self.m], [4]).getJacobian(1, 0)
self.BT = self.B.transpose()
self.BdotT = self.Bdot.transpose()
self.deriv_cached = True
outputs['P_comm'] = self.B.dot(inputs['CP_P_comm'])
outputs['Gamma'] = self.B.dot(inputs['CP_gamma'])
for k in range(12):
outputs['Isetpt'][k, :] = self.B.dot(inputs['CP_Isetpt'][k, :])
def compute(self, inputs, outputs):
"""
Calculate outputs.
"""
# Only need to do this once.
if self.deriv_cached is False:
t1 = inputs['t1']
t2 = inputs['t2']
n = self.n
self.B = MBI(np.zeros(n), [np.linspace(t1, t2, n)], [self.m],
[4]).getJacobian(0, 0)
self.Bdot = MBI(np.zeros(n), [np.linspace(t1, t2, n)], [self.m],
[4]).getJacobian(1, 0)
self.BT = self.B.transpose()
self.BdotT = self.Bdot.transpose()
self.deriv_cached = True
outputs['P_comm'] = self.B.dot(inputs['CP_P_comm'])
outputs['Gamma'] = self.B.dot(inputs['CP_gamma'])
for k in range(12):
outputs['Isetpt'][:, k] = self.B.dot(inputs['CP_Isetpt'][:, k])
def __init__(self, n, rawG_file=None):
super(Comm_GainPattern, self).__init__()
self.n = n
if not rawG_file:
fpath = os.path.dirname(os.path.realpath(__file__))
rawG_file = fpath + '/data/Comm/Gain.txt'
rawGdata = np.genfromtxt(rawG_file)
rawG = (10 ** (rawGdata / 10.0)).reshape((361, 361), order='F')
pi = np.pi
az = np.linspace(0, 2 * pi, 361)
el = np.linspace(0, 2 * pi, 361)
self.MBI = MBI(rawG, [az, el], [15, 15], [4, 4])
self.x = np.zeros((self.n, 2), order='F')
def __init__(self, n, dat=None):
super(Power_CellVoltage, self).__init__()
self.n = n
if dat is None:
fpath = os.path.dirname(os.path.realpath(__file__))
dat = np.genfromtxt(fpath + '/data/Power/curve.dat')
# Inputs
self.add_param('LOS', np.zeros((n)), units='unitless',
desc="Line of Sight over Time")
self.add_param('temperature', np.zeros((5, n)), units="degK",
desc="Temperature of solar cells over time")
self.add_param('exposedArea', np.zeros((7, 12, n)), units="m**2",
desc="Exposed area to sun for each solar cell over time")
self.add_param('Isetpt', np.zeros((12, n)), units="A",
desc="Currents of the solar panels")
# Outputs
self.add_output('V_sol', np.zeros((12, n)), units="V",
desc="Output voltage of solar panel over time")
nT, nA, nI = dat[:3]
T = dat[3:3 + nT]
A = dat[3 + nT:3 + nT + nA]
I = dat[3 + nT + nA:3 + nT + nA + nI]
V = dat[3 + nT + nA + nI:].reshape((nT, nA, nI), order='F')
self.MBI = MBI(V, [T, A, I], [6, 6, 15], [3, 3, 3])
self.x = np.zeros((84 * self.n, 3), order='F')
self.xV = self.x.reshape((self.n, 7, 12, 3), order='F')
self.dV_dL = np.zeros((self.n, 12), order='F')
self.dV_dT = np.zeros((self.n, 12, 5), order='F')
self.dV_dA = np.zeros((self.n, 7, 12), order='F')
self.dV_dI = np.zeros((self.n, 12), order='F')
def setup(self):
n = self.n
raw1_file = self.raw1_file
raw2_file = self.raw2_file
fpath = os.path.dirname(os.path.realpath(__file__))
if not raw1_file:
raw1_file = fpath + '/data/Solar/Area10.txt'
if not raw2_file:
raw2_file = fpath + '/data/Solar/Area_all.txt'
raw1 = np.genfromtxt(raw1_file)
raw2 = np.loadtxt(raw2_file)
nc = self.nc = 7
self.np = 12
self.na = 10
self.nz = 73
self.ne = 37
angle = np.zeros(self.na)
azimuth = np.zeros(self.nz)
elevation = np.zeros(self.ne)
index = 0
for i in range(self.na):
angle[i] = raw1[index]
index += 1
for i in range(self.nz):
azimuth[i] = raw1[index]
index += 1
index -= 1
azimuth[self.nz - 1] = 2.0 * np.pi
for i in range(self.ne):
elevation[i] = raw1[index]
index += 1
angle[0] = 0.0
angle[-1] = np.pi / 2.0
azimuth[0] = 0.0
azimuth[-1] = 2 * np.pi
elevation[0] = 0.0
elevation[-1] = np.pi
counter = 0
data = np.zeros((self.na, self.nz, self.ne, self.np * self.nc))
flat_size = self.na * self.nz * self.ne
for p in range(self.np):
for c in range(nc):
data[:, :, :, counter] = \
raw2[nc * p + c][119:119 + flat_size].reshape((self.na,
self.nz,
self.ne))
counter += 1
self.MBI = MBI(data, [angle, azimuth, elevation], [4, 10, 8],
[4, 4, 4])
self.MBI.seterr('raise')
self.x = np.zeros((self.n, 3))
self.Jfin = None
self.Jaz = None
self.Jel = None
# Inputs
self.add_input('finAngle',
0.0,
units='rad',
desc='Fin angle of solar panel')
self.add_input(
'azimuth',
np.zeros((n, )),
units='rad',
desc='Azimuth angle of the sun in the body-fixed frame over time')
self.add_input(
'elevation',
np.zeros((n, )),
units='rad',
desc='Elevation angle of the sun in the body-fixed frame over time'
)
# Outputs
self.add_output(
'exposedArea',
np.zeros((n, self.nc, self.np)),
desc='Exposed area to sun for each solar cell over time',
units='m**2',
lower=-5e-3,
upper=1.834e-1)
self.declare_partials('exposedArea', 'finAngle')
nn = self.nc * self.np
rows = np.tile(np.arange(nn), n) + np.repeat(nn * np.arange(n), nn)
cols = np.tile(np.repeat(0, nn), n) + np.repeat(np.arange(n), nn)
self.declare_partials('exposedArea', 'azimuth', rows=rows, cols=cols)
self.declare_partials('exposedArea', 'elevation', rows=rows, cols=cols)
class Power_CellVoltage(ExplicitComponent):
"""
Compute the output voltage of the solar panels.
"""
def __init__(self, n, filename=None):
super(Power_CellVoltage, self).__init__()
self.n = n
if not filename:
fpath = os.path.dirname(os.path.realpath(__file__))
filename = fpath + '/data/Power/curve.dat'
dat = np.genfromtxt(filename)
nT, nA, nI = dat[:3]
nT = int(nT)
nA = int(nA)
nI = int(nI)
T = dat[3:3 + nT]
A = dat[3 + nT:3 + nT + nA]
I = dat[3 + nT + nA:3 + nT + nA + nI] # noqa: E741
V = dat[3 + nT + nA + nI:].reshape((nT, nA, nI), order='F')
self.MBI = MBI(V, [T, A, I], [6, 6, 15], [3, 3, 3])
self.x = np.zeros((84 * n, 3), order='F')
self.xV = self.x.reshape((n, 7, 12, 3), order='F')
self.dV_dL = np.zeros((n, 12), order='F')
self.dV_dT = np.zeros((n, 12, 5), order='F')
self.dV_dA = np.zeros((n, 7, 12), order='F')
self.dV_dI = np.zeros((n, 12), order='F')
def setup(self):
n = self.n
# Inputs
self.add_input('LOS', np.zeros((n)), units=None,
desc='Line of Sight over Time')
self.add_input('temperature', np.zeros((5, n)), units='degK',
desc='Temperature of solar cells over time')
self.add_input('exposedArea', np.zeros((7, 12, n)), units='m**2',
desc='Exposed area to sun for each solar cell over time')
self.add_input('Isetpt', np.zeros((12, n)), units='A',
desc='Currents of the solar panels')
# Outputs
self.add_output('V_sol', np.zeros((12, n)), units='V',
desc='Output voltage of solar panel over time')
def setx(self, inputs):
temperature = inputs['temperature']
LOS = inputs['LOS']
exposedArea = inputs['exposedArea']
Isetpt = inputs['Isetpt']
for p in range(12):
i = 4 if p < 4 else (p % 4)
for c in range(7):
self.xV[:, c, p, 0] = temperature[i, :]
self.xV[:, c, p, 1] = LOS * exposedArea[c, p, :]
self.xV[:, c, p, 2] = Isetpt[p, :]
def compute(self, inputs, outputs):
"""
Calculate outputs.
"""
self.setx(inputs)
self.raw = self.MBI.evaluate(self.x)[:, 0].reshape((self.n, 7, 12),
order='F')
outputs['V_sol'] = np.zeros((12, self.n))
for c in range(7):
outputs['V_sol'] += self.raw[:, c, :].T
def compute_partials(self, inputs, partials):
"""
Calculate and save derivatives. (i.e., Jacobian)
"""
exposedArea = inputs['exposedArea']
LOS = inputs['LOS']
self.raw1 = self.MBI.evaluate(self.x, 1)[:, 0].reshape((self.n, 7,
12), order='F')
self.raw2 = self.MBI.evaluate(self.x, 2)[:, 0].reshape((self.n, 7,
12), order='F')
self.raw3 = self.MBI.evaluate(self.x, 3)[:, 0].reshape((self.n, 7,
12), order='F')
self.dV_dL[:] = 0.0
self.dV_dT[:] = 0.0
self.dV_dA[:] = 0.0
self.dV_dI[:] = 0.0
for p in range(12):
i = 4 if p < 4 else (p % 4)
for c in range(7):
self.dV_dL[:, p] += self.raw2[:, c, p] * exposedArea[c, p, :]
self.dV_dT[:, p, i] += self.raw1[:, c, p]
self.dV_dA[:, c, p] += self.raw2[:, c, p] * LOS
self.dV_dI[:, p] += self.raw3[:, c, p]
def compute_jacvec_product(self, inputs, d_inputs, d_outputs, mode):
"""
Matrix-vector product with the Jacobian.
"""
dV_sol = d_outputs['V_sol']
if mode == 'fwd':
if 'LOS' in d_inputs:
dV_sol += self.dV_dL.T * d_inputs['LOS']
if 'temperature' in d_inputs:
for p in range(12):
i = 4 if p < 4 else (p % 4)
dV_sol[p, :] += self.dV_dT[:, p, i] * d_inputs['temperature'][i, :]
if 'Isetpt' in d_inputs:
dV_sol += self.dV_dI.T * d_inputs['Isetpt']
if 'exposedArea' in d_inputs:
for p in range(12):
dV_sol[p, :] += \
np.sum(self.dV_dA[:, :, p] * d_inputs['exposedArea'][:, p, :].T, 1)
else:
for p in range(12):
i = 4 if p < 4 else (p % 4)
if 'LOS' in d_inputs:
d_inputs['LOS'] += self.dV_dL[:, p] * dV_sol[p, :]
if 'temperature' in d_inputs:
d_inputs['temperature'][i, :] += self.dV_dT[:, p, i] * dV_sol[p, :]
if 'Isetpt' in d_inputs:
d_inputs['Isetpt'][p, :] += self.dV_dI[:, p] * dV_sol[p, :]
if 'exposedArea' in d_inputs:
dexposedArea = d_inputs['exposedArea']
for c in range(7):
dexposedArea[c, p, :] += self.dV_dA[:, c, p] * dV_sol[p, :]
class BsplineParameters(Component):
'''Creates a Bspline interpolant for several CADRE variables
so that their time histories can be shaped with m control points
instead of n time points.'''
def __init__(self, n, m):
super(BsplineParameters, self).__init__()
self.n = n
self.m = m
# Inputs
self.add_param('t1', 0., units='s', desc='Start time')
self.add_param('t2', 43200., units='s', desc='End time')
self.add_param('CP_P_comm',
np.zeros((self.m, )),
units='W',
desc='Communication power at the control points')
self.add_param('CP_gamma',
np.zeros((self.m, )),
units='rad',
desc='Satellite roll angle at control points')
self.add_param(
'CP_Isetpt',
np.zeros((12, self.m)),
units='A',
desc='Currents of the solar panels at the control points')
# Outputs
self.add_output('P_comm',
np.ones((n, )),
units='W',
desc='Communication power over time')
self.add_output('Gamma',
0.1 * np.ones((n, )),
units='rad',
desc='Satellite roll ang le over time')
self.add_output('Isetpt',
0.2 * np.ones((12, n)),
units="A",
desc="Currents of the solar panels over time")
self.deriv_cached = False
def solve_nonlinear(self, params, unknowns, resids):
""" Calculate output. """
# Only need to do this once.
if self.deriv_cached == False:
t1 = params['t1']
t2 = params['t2']
n = self.n
self.B = MBI(np.zeros(n), [np.linspace(t1, t2, n)], [self.m],
[4]).getJacobian(0, 0)
self.Bdot = MBI(np.zeros(n), [np.linspace(t1, t2, n)], [self.m],
[4]).getJacobian(1, 0)
self.BT = self.B.transpose()
self.BdotT = self.Bdot.transpose()
self.deriv_cached = True
unknowns['P_comm'] = self.B.dot(params['CP_P_comm'])
unknowns['Gamma'] = self.B.dot(params['CP_gamma'])
for k in range(12):
unknowns['Isetpt'][k, :] = self.B.dot(params['CP_Isetpt'][k, :])
def apply_linear(self, params, unknowns, dparams, dunknowns, dresids,
mode):
""" Matrix-vector product with the Jacobian. """
if mode == 'fwd':
if 'P_comm' in dresids and 'CP_P_comm' in dparams:
dresids['P_comm'] += self.B.dot(dparams['CP_P_comm'])
if 'Gamma' in dresids and 'CP_gamma' in dparams:
dresids['Gamma'] += self.B.dot(dparams['CP_gamma'])
if 'Isetpt' in dresids and 'CP_Isetpt' in dparams:
for k in range(12):
dresids['Isetpt'][k, :] += self.B.dot(
dparams['CP_Isetpt'][k, :])
else:
if 'P_comm' in dresids and 'CP_P_comm' in dparams:
dparams['CP_P_comm'] += self.BT.dot(dresids['P_comm'])
if 'Gamma' in dresids and 'CP_gamma' in dparams:
dparams['CP_gamma'] += self.BT.dot(dresids['Gamma'])
if 'Isetpt' in dresids and 'CP_Isetpt' in dparams:
for k in range(12):
dparams['CP_Isetpt'][k, :] += self.BT.dot(
dresids['Isetpt'][k, :])
def __init__(self, n, raw1_file=None, raw2_file=None):
super(Solar_ExposedArea, self).__init__()
fpath = os.path.dirname(os.path.realpath(__file__))
if not raw1_file:
raw1_file = fpath + '/data/Solar/Area10.txt'
if not raw2_file:
raw2_file = fpath + '/data/Solar/Area_all.txt'
raw1 = np.genfromtxt(raw1_file)
raw2 = np.loadtxt(raw2_file)
self.n = n
self.nc = 7
self.np = 12
self.na = 10
self.nz = 73
self.ne = 37
angle = np.zeros(self.na)
azimuth = np.zeros(self.nz)
elevation = np.zeros(self.ne)
index = 0
for i in range(self.na):
angle[i] = raw1[index]
index += 1
for i in range(self.nz):
azimuth[i] = raw1[index]
index += 1
index -= 1
azimuth[self.nz - 1] = 2.0 * np.pi
for i in range(self.ne):
elevation[i] = raw1[index]
index += 1
angle[0] = 0.0
angle[-1] = np.pi / 2.0
azimuth[0] = 0.0
azimuth[-1] = 2 * np.pi
elevation[0] = 0.0
elevation[-1] = np.pi
counter = 0
data = np.zeros((self.na, self.nz, self.ne, self.np * self.nc))
flat_size = self.na * self.nz * self.ne
for p in range(self.np):
for c in range(self.nc):
data[:, :, :, counter] = \
raw2[7 * p + c][119:119 + flat_size].reshape((self.na,
self.nz,
self.ne))
counter += 1
self.MBI = MBI(data, [angle, azimuth, elevation], [4, 10, 8],
[4, 4, 4])
self.x = np.zeros((self.n, 3))
self.Jfin = None
self.Jaz = None
self.Jel = None
class BsplineParameters(ExplicitComponent):
"""
Creates a Bspline interpolant for several CADRE variables
so that their time histories can be shaped with m control points
instead of n time points.
"""
def __init__(self, n, m):
super(BsplineParameters, self).__init__()
self.n = n
self.m = m
self.deriv_cached = False
def setup(self):
m = self.m
n = self.n
# Inputs
self.add_input('t1', 0., units='s', desc='Start time')
self.add_input('t2', 43200., units='s', desc='End time')
self.add_input('CP_P_comm',
np.zeros((m, )),
units='W',
desc='Communication power at the control points')
self.add_input('CP_gamma',
np.zeros((m, )),
units='rad',
desc='Satellite roll angle at control points')
self.add_input(
'CP_Isetpt',
np.zeros((m, 12)),
units='A',
desc='Currents of the solar panels at the control points')
# Outputs
self.add_output('P_comm',
np.ones((n, )),
units='W',
desc='Communication power over time')
self.add_output('Gamma',
0.1 * np.ones((n, )),
units='rad',
desc='Satellite roll angle over time')
self.add_output('Isetpt',
0.2 * np.ones((n, 12)),
units='A',
desc='Currents of the solar panels over time')
self.declare_partials('P_comm', 'CP_P_comm')
self.declare_partials('Gamma', 'CP_gamma')
rowm = np.repeat(0, m)
colm = 12 * np.arange(m)
rown = np.tile(rowm, n) + np.repeat(12 * np.arange(n), m)
coln = np.tile(colm, n)
rows = np.tile(rown, 12) + np.repeat(np.arange(12), n * m)
cols = np.tile(coln, 12) + np.repeat(np.arange(12), n * m)
self.declare_partials('Isetpt', 'CP_Isetpt', rows=rows, cols=cols)
def compute(self, inputs, outputs):
"""
Calculate outputs.
"""
# Only need to do this once.
if self.deriv_cached is False:
t1 = inputs['t1']
t2 = inputs['t2']
n = self.n
self.B = MBI(np.zeros(n), [np.linspace(t1, t2, n)], [self.m],
[4]).getJacobian(0, 0)
self.Bdot = MBI(np.zeros(n), [np.linspace(t1, t2, n)], [self.m],
[4]).getJacobian(1, 0)
self.BT = self.B.transpose()
self.BdotT = self.Bdot.transpose()
self.deriv_cached = True
outputs['P_comm'] = self.B.dot(inputs['CP_P_comm'])
outputs['Gamma'] = self.B.dot(inputs['CP_gamma'])
for k in range(12):
outputs['Isetpt'][:, k] = self.B.dot(inputs['CP_Isetpt'][:, k])
def compute_partials(self, inputs, partials):
"""
Calculate and save derivatives. (i.e., Jacobian)
"""
B = self.B
partials['P_comm', 'CP_P_comm'] = B
partials['Gamma', 'CP_gamma'] = B
# TODO : need to fix the time issue so that we can declare very sparse derivatives.
partials['Isetpt', 'CP_Isetpt'] = np.tile(B.todense().flat, 12)
class Comm_GainPattern(ExplicitComponent):
"""
Determines transmitter gain based on an external az-el map.
"""
def __init__(self, n, rawG_file=None):
super(Comm_GainPattern, self).__init__()
self.n = n
if not rawG_file:
fpath = os.path.dirname(os.path.realpath(__file__))
rawG_file = fpath + '/data/Comm/Gain.txt'
rawGdata = np.genfromtxt(rawG_file)
rawG = (10 ** (rawGdata / 10.0)).reshape((361, 361), order='F')
pi = np.pi
az = np.linspace(0, 2 * pi, 361)
el = np.linspace(0, 2 * pi, 361)
self.MBI = MBI(rawG, [az, el], [15, 15], [4, 4])
self.x = np.zeros((self.n, 2), order='F')
def setup(self):
n = self.n
# Inputs
self.add_input('azimuthGS', np.zeros(n), units='rad',
desc='Azimuth angle from satellite to ground station in '
'Earth-fixed frame over time')
self.add_input('elevationGS', np.zeros(n), units='rad',
desc='Elevation angle from satellite to ground station '
'in Earth-fixed frame over time')
# Outputs
self.add_output('gain', np.zeros(n), units=None,
desc='Transmitter gain over time')
def compute(self, inputs, outputs):
"""
Calculate outputs.
"""
result = fixangles(self.n, inputs['azimuthGS'], inputs['elevationGS'])
self.x[:, 0] = result[0]
self.x[:, 1] = result[1]
outputs['gain'] = self.MBI.evaluate(self.x)[:, 0]
def compute_partials(self, inputs, partials):
"""
Calculate and save derivatives. (i.e., Jacobian)
"""
self.dg_daz = self.MBI.evaluate(self.x, 1)[:, 0]
self.dg_del = self.MBI.evaluate(self.x, 2)[:, 0]
def compute_jacvec_product(self, inputs, d_inputs, d_outputs, mode):
"""
Matrix-vector product with the Jacobian.
"""
dgain = d_outputs['gain']
if mode == 'fwd':
if 'azimuthGS' in d_inputs:
dgain += self.dg_daz * d_inputs['azimuthGS']
if 'elevationGS' in d_inputs:
dgain += self.dg_del * d_inputs['elevationGS']
else:
if 'azimuthGS' in d_inputs:
d_inputs['azimuthGS'] += self.dg_daz * dgain
if 'elevationGS' in d_inputs:
d_inputs['elevationGS'] += self.dg_del * dgain
class Solar_ExposedArea(Component):
"""Exposed area calculation for a given solar cell
p: panel ID [0,11]
c: cell ID [0,6]
a: fin angle [0,90]
z: azimuth [0,360]
e: elevation [0,180]
LOS: line of sight with the sun [0,1]
"""
def __init__(self, n, raw1=None, raw2=None):
super(Solar_ExposedArea, self).__init__()
if raw1 is None:
fpath = os.path.dirname(os.path.realpath(__file__))
raw1 = np.genfromtxt(fpath + '/data/Solar/Area10.txt')
if raw2 is None:
fpath = os.path.dirname(os.path.realpath(__file__))
raw2 = np.loadtxt(fpath + "/data/Solar/Area_all.txt")
self.n = n
self.nc = 7
self.np = 12
# Inputs
self.add_param('finAngle', 0.0, units="rad",
desc="Fin angle of solar panel")
self.add_param('azimuth', np.zeros((n, )), units='rad',
desc="Azimuth angle of the sun in the body-fixed frame "
"over time")
self.add_param('elevation', np.zeros((n, )), units='rad',
desc='Elevation angle of the sun in the body-fixed '
'frame over time')
# Outputs
self.add_output('exposedArea', np.zeros((self.nc, self.np, self.n)),
desc="Exposed area to sun for each solar cell over time",
units='m**2', low=-5e-3, high=1.834e-1)
self.na = 10
self.nz = 73
self.ne = 37
angle = np.zeros(self.na)
azimuth = np.zeros(self.nz)
elevation = np.zeros(self.ne)
index = 0
for i in range(self.na):
angle[i] = raw1[index]
index += 1
for i in range(self.nz):
azimuth[i] = raw1[index]
index += 1
index -= 1
azimuth[self.nz - 1] = 2.0 * np.pi
for i in range(self.ne):
elevation[i] = raw1[index]
index += 1
angle[0] = 0.0
angle[-1] = np.pi / 2.0
azimuth[0] = 0.0
azimuth[-1] = 2 * np.pi
elevation[0] = 0.0
elevation[-1] = np.pi
counter = 0
data = np.zeros((self.na, self.nz, self.ne, self.np * self.nc))
flat_size = self.na * self.nz * self.ne
for p in range(self.np):
for c in range(self.nc):
data[:, :, :, counter] = \
raw2[7 * p + c][119:119 + flat_size].reshape((self.na,
self.nz,
self.ne))
counter += 1
self.MBI = MBI(data, [angle, azimuth, elevation],
[4, 10, 8],
[4, 4, 4])
self.x = np.zeros((self.n, 3))
self.Jfin = None
self.Jaz = None
self.Jel = None
def solve_nonlinear(self, params, unknowns, resids):
""" Calculate output. """
self.setx(params)
P = self.MBI.evaluate(self.x).T
unknowns['exposedArea'] = P.reshape(7, 12, self.n, order='F')
def setx(self, params):
""" Sets our state array"""
result = fixangles(self.n, params['azimuth'], params['elevation'])
self.x[:, 0] = params['finAngle']
self.x[:, 1] = result[0]
self.x[:, 2] = result[1]
def jacobian(self, params, unknowns, resids):
""" Calculate and save derivatives. (i.e., Jacobian) """
self.Jfin = self.MBI.evaluate(self.x, 1).reshape(self.n, 7, 12,
order='F')
self.Jaz = self.MBI.evaluate(self.x, 2).reshape(self.n, 7, 12,
order='F')
self.Jel = self.MBI.evaluate(self.x, 3).reshape(self.n, 7, 12,
order='F')
def apply_linear(self, params, unknowns, dparams, dunknowns, dresids, mode):
""" Matrix-vector product with the Jacobian. """
deA = dresids['exposedArea']
if mode == 'fwd':
for c in range(7):
if 'finAngle' in dparams:
deA[c, :, :] += \
self.Jfin[:, c, :].T * dparams['finAngle']
if 'azimuth' in dparams:
deA[c, :, :] += \
self.Jaz[:, c, :].T * dparams['azimuth']
if 'elevation' in dparams:
deA[c, :, :] += \
self.Jel[:, c, :].T * dparams['elevation']
else:
for c in range(7):
# incoming arg is often sparse, so check it first
if len(np.nonzero(dresids['exposedArea'][c, :, :])[0]) == 0:
continue
if 'finAngle' in dparams:
dparams['finAngle'] += \
np.sum(
self.Jfin[:, c, :].T * deA[c, :, :])
if 'azimuth' in dparams:
dparams['azimuth'] += \
np.sum(
self.Jaz[:, c, :].T * deA[c, :, :], 0)
if 'elevation' in dparams:
dparams['elevation'] += \
np.sum(
self.Jel[:, c, :].T * deA[c, :, :], 0)
class Power_CellVoltage(ExplicitComponent):
"""
Compute the output voltage of the solar panels.
"""
def __init__(self, n, filename=None):
super(Power_CellVoltage, self).__init__()
self.n = n
if not filename:
fpath = os.path.dirname(os.path.realpath(__file__))
filename = fpath + '/data/Power/curve.dat'
dat = np.genfromtxt(filename)
nT, nA, nI = dat[:3]
nT = int(nT)
nA = int(nA)
nI = int(nI)
T = dat[3:3 + nT]
A = dat[3 + nT:3 + nT + nA]
I = dat[3 + nT + nA:3 + nT + nA + nI] # noqa: E741
V = dat[3 + nT + nA + nI:].reshape((nT, nA, nI), order='F')
self.MBI = MBI(V, [T, A, I], [6, 6, 15], [3, 3, 3])
self.x = np.zeros((84 * n, 3), order='F')
self.xV = self.x.reshape((n, 7, 12, 3), order='F')
self.dV_dL = np.zeros((n, 12), order='F')
self.dV_dT = np.zeros((n, 12, 5), order='F')
self.dV_dA = np.zeros((n, 7, 12), order='F')
self.dV_dI = np.zeros((n, 12), order='F')
def setup(self):
n = self.n
# Inputs
self.add_input('LOS',
np.zeros((n)),
units=None,
desc='Line of Sight over Time')
self.add_input('temperature',
np.zeros((5, n)),
units='degK',
desc='Temperature of solar cells over time')
self.add_input(
'exposedArea',
np.zeros((7, 12, n)),
units='m**2',
desc='Exposed area to sun for each solar cell over time')
self.add_input('Isetpt',
np.zeros((12, n)),
units='A',
desc='Currents of the solar panels')
# Outputs
self.add_output('V_sol',
np.zeros((12, n)),
units='V',
desc='Output voltage of solar panel over time')
def setx(self, inputs):
temperature = inputs['temperature']
LOS = inputs['LOS']
exposedArea = inputs['exposedArea']
Isetpt = inputs['Isetpt']
for p in range(12):
i = 4 if p < 4 else (p % 4)
for c in range(7):
self.xV[:, c, p, 0] = temperature[i, :]
self.xV[:, c, p, 1] = LOS * exposedArea[c, p, :]
self.xV[:, c, p, 2] = Isetpt[p, :]
def compute(self, inputs, outputs):
"""
Calculate outputs.
"""
self.setx(inputs)
self.raw = self.MBI.evaluate(self.x)[:, 0].reshape((self.n, 7, 12),
order='F')
outputs['V_sol'] = np.zeros((12, self.n))
for c in range(7):
outputs['V_sol'] += self.raw[:, c, :].T
def compute_partials(self, inputs, partials):
"""
Calculate and save derivatives. (i.e., Jacobian)
"""
exposedArea = inputs['exposedArea']
LOS = inputs['LOS']
self.raw1 = self.MBI.evaluate(self.x, 1)[:, 0].reshape((self.n, 7, 12),
order='F')
self.raw2 = self.MBI.evaluate(self.x, 2)[:, 0].reshape((self.n, 7, 12),
order='F')
self.raw3 = self.MBI.evaluate(self.x, 3)[:, 0].reshape((self.n, 7, 12),
order='F')
self.dV_dL[:] = 0.0
self.dV_dT[:] = 0.0
self.dV_dA[:] = 0.0
self.dV_dI[:] = 0.0
for p in range(12):
i = 4 if p < 4 else (p % 4)
for c in range(7):
self.dV_dL[:, p] += self.raw2[:, c, p] * exposedArea[c, p, :]
self.dV_dT[:, p, i] += self.raw1[:, c, p]
self.dV_dA[:, c, p] += self.raw2[:, c, p] * LOS
self.dV_dI[:, p] += self.raw3[:, c, p]
def compute_jacvec_product(self, inputs, d_inputs, d_outputs, mode):
"""
Matrix-vector product with the Jacobian.
"""
dV_sol = d_outputs['V_sol']
if mode == 'fwd':
if 'LOS' in d_inputs:
dV_sol += self.dV_dL.T * d_inputs['LOS']
if 'temperature' in d_inputs:
for p in range(12):
i = 4 if p < 4 else (p % 4)
dV_sol[
p, :] += self.dV_dT[:, p,
i] * d_inputs['temperature'][i, :]
if 'Isetpt' in d_inputs:
dV_sol += self.dV_dI.T * d_inputs['Isetpt']
if 'exposedArea' in d_inputs:
for p in range(12):
dV_sol[p, :] += \
np.sum(self.dV_dA[:, :, p] * d_inputs['exposedArea'][:, p, :].T, 1)
else:
for p in range(12):
i = 4 if p < 4 else (p % 4)
if 'LOS' in d_inputs:
d_inputs['LOS'] += self.dV_dL[:, p] * dV_sol[p, :]
if 'temperature' in d_inputs:
d_inputs['temperature'][
i, :] += self.dV_dT[:, p, i] * dV_sol[p, :]
if 'Isetpt' in d_inputs:
d_inputs['Isetpt'][p, :] += self.dV_dI[:, p] * dV_sol[p, :]
if 'exposedArea' in d_inputs:
dexposedArea = d_inputs['exposedArea']
for c in range(7):
dexposedArea[c, p, :] += self.dV_dA[:, c,
p] * dV_sol[p, :]
class Comm_GainPattern(ExplicitComponent):
"""
Determines transmitter gain based on an external az-el map.
"""
def __init__(self, n, rawG_file=None):
super(Comm_GainPattern, self).__init__()
self.n = n
if not rawG_file:
fpath = os.path.dirname(os.path.realpath(__file__))
rawG_file = fpath + '/data/Comm/Gain.txt'
rawGdata = np.genfromtxt(rawG_file)
rawG = (10**(rawGdata / 10.0)).reshape((361, 361), order='F')
pi = np.pi
az = np.linspace(0, 2 * pi, 361)
el = np.linspace(0, 2 * pi, 361)
self.MBI = MBI(rawG, [az, el], [15, 15], [4, 4])
self.MBI.seterr('raise')
self.x = np.zeros((self.n, 2), order='F')
def setup(self):
n = self.n
# Inputs
self.add_input(
'azimuthGS',
np.zeros(n),
units='rad',
desc='Azimuth angle from satellite to ground station in '
'Earth-fixed frame over time')
self.add_input('elevationGS',
np.zeros(n),
units='rad',
desc='Elevation angle from satellite to ground station '
'in Earth-fixed frame over time')
# Outputs
self.add_output('gain',
np.zeros(n),
units=None,
desc='Transmitter gain over time')
row_col = np.arange(n)
self.declare_partials('gain',
'elevationGS',
rows=row_col,
cols=row_col)
self.declare_partials('gain', 'azimuthGS', rows=row_col, cols=row_col)
def compute(self, inputs, outputs):
"""
Calculate outputs.
"""
result = fixangles(self.n, inputs['azimuthGS'], inputs['elevationGS'])
self.x[:, 0] = result[0]
self.x[:, 1] = result[1]
outputs['gain'] = self.MBI.evaluate(self.x)[:, 0]
def compute_partials(self, inputs, partials):
"""
Calculate and save derivatives. (i.e., Jacobian)
"""
partials['gain', 'azimuthGS'] = self.MBI.evaluate(self.x, 1)[:, 0]
partials['gain', 'elevationGS'] = self.MBI.evaluate(self.x, 2)[:, 0]
class Power_CellVoltage(Component):
"""Compute the output voltage of the solar panels.
"""
def __init__(self, n, dat=None):
super(Power_CellVoltage, self).__init__()
self.n = n
if dat is None:
fpath = os.path.dirname(os.path.realpath(__file__))
dat = np.genfromtxt(fpath + '/data/Power/curve.dat')
# Inputs
self.add_param('LOS', np.zeros((n)), units='unitless',
desc="Line of Sight over Time")
self.add_param('temperature', np.zeros((5, n)), units="degK",
desc="Temperature of solar cells over time")
self.add_param('exposedArea', np.zeros((7, 12, n)), units="m**2",
desc="Exposed area to sun for each solar cell over time")
self.add_param('Isetpt', np.zeros((12, n)), units="A",
desc="Currents of the solar panels")
# Outputs
self.add_output('V_sol', np.zeros((12, n)), units="V",
desc="Output voltage of solar panel over time")
nT, nA, nI = dat[:3]
T = dat[3:3 + nT]
A = dat[3 + nT:3 + nT + nA]
I = dat[3 + nT + nA:3 + nT + nA + nI]
V = dat[3 + nT + nA + nI:].reshape((nT, nA, nI), order='F')
self.MBI = MBI(V, [T, A, I], [6, 6, 15], [3, 3, 3])
self.x = np.zeros((84 * self.n, 3), order='F')
self.xV = self.x.reshape((self.n, 7, 12, 3), order='F')
self.dV_dL = np.zeros((self.n, 12), order='F')
self.dV_dT = np.zeros((self.n, 12, 5), order='F')
self.dV_dA = np.zeros((self.n, 7, 12), order='F')
self.dV_dI = np.zeros((self.n, 12), order='F')
def setx(self, params):
temperature = params['temperature']
LOS = params['LOS']
exposedArea = params['exposedArea']
Isetpt = params['Isetpt']
for p in range(12):
i = 4 if p < 4 else (p % 4)
for c in range(7):
self.xV[:, c, p, 0] = temperature[i, :]
self.xV[:, c, p, 1] = LOS * exposedArea[c, p, :]
self.xV[:, c, p, 2] = Isetpt[p, :]
def solve_nonlinear(self, params, unknowns, resids):
""" Calculate output. """
self.setx(params)
self.raw = self.MBI.evaluate(self.x)[:, 0].reshape((self.n, 7, 12),
order='F')
unknowns['V_sol'] = np.zeros((12, self.n))
for c in range(7):
unknowns['V_sol'] += self.raw[:, c, :].T
def linearize(self, params, unknowns, resids):
""" Calculate and save derivatives. (i.e., Jacobian) """
exposedArea = params['exposedArea']
LOS = params['LOS']
self.raw1 = self.MBI.evaluate(self.x, 1)[:, 0].reshape((self.n, 7,
12), order='F')
self.raw2 = self.MBI.evaluate(self.x, 2)[:, 0].reshape((self.n, 7,
12), order='F')
self.raw3 = self.MBI.evaluate(self.x, 3)[:, 0].reshape((self.n, 7,
12), order='F')
self.dV_dL[:] = 0.0
self.dV_dT[:] = 0.0
self.dV_dA[:] = 0.0
self.dV_dI[:] = 0.0
for p in range(12):
i = 4 if p < 4 else (p % 4)
for c in range(7):
self.dV_dL[:, p] += self.raw2[:, c, p] * exposedArea[c, p,:]
self.dV_dT[:, p, i] += self.raw1[:, c, p]
self.dV_dA[:, c, p] += self.raw2[:, c, p] * LOS
self.dV_dI[:, p] += self.raw3[:, c, p]
def apply_linear(self, params, unknowns, dparams, dunknowns, dresids, mode):
""" Matrix-vector product with the Jacobian. """
dV_sol = dresids['V_sol']
if mode == 'fwd':
if 'LOS' in dparams:
dV_sol += self.dV_dL.T * dparams['LOS']
if 'temperature' in dparams:
for p in range(12):
i = 4 if p < 4 else (p % 4)
dV_sol[p, :] += self.dV_dT[:, p, i] * dparams['temperature'][i,:]
if 'Isetpt' in dparams:
dV_sol += self.dV_dI.T * dparams['Isetpt']
if 'exposedArea' in dparams:
for p in range(12):
dV_sol[p, :] += \
np.sum(self.dV_dA[:,:, p] * dparams['exposedArea'][:, p,:].T, 1)
else:
for p in range(12):
i = 4 if p < 4 else (p % 4)
if 'LOS' in dparams:
dparams['LOS'] += self.dV_dL[:, p] * dV_sol[p,:]
if 'temperature' in dparams:
dparams['temperature'][i,:] += self.dV_dT[:, p, i] * dV_sol[p,:]
if 'Isetpt' in dparams:
dparams['Isetpt'][p,:] += self.dV_dI[:, p] * dV_sol[p,:]
if 'exposedArea' in dparams:
dexposedArea = dparams['exposedArea']
for c in range(7):
dexposedArea[c, p, :] += self.dV_dA[:, c, p] * dV_sol[p,:]
class Comm_GainPattern(Component):
''' Determines transmitter gain based on an external az-el map. '''
def __init__(self, n, rawG=None):
super(Comm_GainPattern, self).__init__()
self.n = n
if rawG is None:
fpath = os.path.dirname(os.path.realpath(__file__))
rawGdata = np.genfromtxt(fpath + '/data/Comm/Gain.txt')
rawG = (10 ** (rawGdata / 10.0)).reshape((361, 361), order='F')
# Inputs
self.add_param('azimuthGS', np.zeros(n), units="rad",
desc="Azimuth angle from satellite to ground station in "
"Earth-fixed frame over time")
self.add_param('elevationGS', np.zeros(n), units="rad",
desc="Elevation angle from satellite to ground station "
"in Earth-fixed frame over time")
# Outputs
self.add_output('gain', np.zeros(n), units="unitless",
desc="Transmitter gain over time")
pi = np.pi
az = np.linspace(0, 2 * pi, 361)
el = np.linspace(0, 2 * pi, 361)
self.MBI = MBI(rawG, [az, el], [15, 15], [4, 4])
self.x = np.zeros((self.n, 2), order='F')
def solve_nonlinear(self, params, unknowns, resids):
""" Calculate output. """
result = fixangles(self.n, params['azimuthGS'], params['elevationGS'])
self.x[:, 0] = result[0]
self.x[:, 1] = result[1]
unknowns['gain'] = self.MBI.evaluate(self.x)[:, 0]
def linearize(self, params, unknowns, resids):
""" Calculate and save derivatives. (i.e., Jacobian) """
self.dg_daz = self.MBI.evaluate(self.x, 1)[:, 0]
self.dg_del = self.MBI.evaluate(self.x, 2)[:, 0]
def apply_linear(self, params, unknowns, dparams, dunknowns, dresids, mode):
""" Matrix-vector product with the Jacobian. """
dgain = dresids['gain']
if mode == 'fwd':
if 'azimuthGS' in dparams:
dgain += self.dg_daz * dparams['azimuthGS']
if 'elevationGS' in dparams:
dgain += self.dg_del * dparams['elevationGS']
else:
if 'azimuthGS' in dparams:
dparams['azimuthGS'] += self.dg_daz * dgain
if 'elevationGS' in dparams:
dparams['elevationGS'] += self.dg_del * dgain
class BsplineParameters(Component):
'''Creates a Bspline interpolant for several CADRE variables
so that their time histories can be shaped with m control points
instead of n time points.'''
def __init__(self, n, m):
super(BsplineParameters, self).__init__()
self.n = n
self.m = m
# Inputs
self.add_param('t1', 0., units='s', desc='Start time')
self.add_param('t2', 43200., units='s', desc='End time')
self.add_param('CP_P_comm', np.zeros((self.m, )), units='W',
desc='Communication power at the control points')
self.add_param('CP_gamma', np.zeros((self.m, )), units='rad',
desc='Satellite roll angle at control points')
self.add_param('CP_Isetpt', np.zeros((12,self.m)), units='A',
desc='Currents of the solar panels at the control points')
# Outputs
self.add_output('P_comm', np.ones((n, )), units='W',
desc='Communication power over time')
self.add_output('Gamma', 0.1*np.ones((n,)), units='rad',
desc='Satellite roll ang le over time')
self.add_output('Isetpt', 0.2*np.ones((12, n)), units="A",
desc="Currents of the solar panels over time")
self.deriv_cached = False
def solve_nonlinear(self, params, unknowns, resids):
""" Calculate output. """
# Only need to do this once.
if self.deriv_cached == False:
t1 = params['t1']
t2 = params['t2']
n = self.n
self.B = MBI(np.zeros(n), [np.linspace(t1, t2, n)],
[self.m], [4]).getJacobian(0, 0)
self.Bdot = MBI(np.zeros(n), [np.linspace(t1, t2, n)],
[self.m], [4]).getJacobian(1, 0)
self.BT = self.B.transpose()
self.BdotT = self.Bdot.transpose()
self.deriv_cached = True
unknowns['P_comm'] = self.B.dot(params['CP_P_comm'])
unknowns['Gamma'] = self.B.dot(params['CP_gamma'])
for k in range(12):
unknowns['Isetpt'][k, :] = self.B.dot(params['CP_Isetpt'][k, :])
def apply_linear(self, params, unknowns, dparams, dunknowns, dresids, mode):
""" Matrix-vector product with the Jacobian. """
if mode == 'fwd':
if 'P_comm' in dresids and 'CP_P_comm' in dparams:
dresids['P_comm'] += self.B.dot(dparams['CP_P_comm'])
if 'Gamma' in dresids and 'CP_gamma' in dparams:
dresids['Gamma'] += self.B.dot(dparams['CP_gamma'])
if 'Isetpt' in dresids and 'CP_Isetpt' in dparams:
for k in range(12):
dresids['Isetpt'][k, :] += self.B.dot(dparams['CP_Isetpt'][k, :])
else:
if 'P_comm' in dresids and 'CP_P_comm' in dparams:
dparams['CP_P_comm'] += self.BT.dot(dresids['P_comm'])
if 'Gamma' in dresids and 'CP_gamma' in dparams:
dparams['CP_gamma'] += self.BT.dot(dresids['Gamma'])
if 'Isetpt' in dresids and 'CP_Isetpt' in dparams:
for k in range(12):
dparams['CP_Isetpt'][k, :] += self.BT.dot(dresids['Isetpt'][k, :])
class PowerCellVoltage(ExplicitComponent):
"""
Compute the output voltage of the solar panels.
"""
def initialize(self):
fpath = os.path.dirname(os.path.realpath(__file__))
self.options.declare('num_nodes',
types=(int, ),
desc="Number of time points.")
self.options.declare(
'filename',
fpath + '/../data/Power/curve.dat',
desc="File containing surrogate model for voltage.")
def setup(self):
nn = self.options['num_nodes']
filename = self.options['filename']
dat = np.genfromtxt(filename)
nT, nA, nI = dat[:3]
nT = int(nT)
nA = int(nA)
nI = int(nI)
T = dat[3:3 + nT]
A = dat[3 + nT:3 + nT + nA]
I = dat[3 + nT + nA:3 + nT + nA + nI] # noqa: E741
V = dat[3 + nT + nA + nI:].reshape((nT, nA, nI), order='F')
self.MBI = MBI(V, [T, A, I], [6, 6, 15], [3, 3, 3])
self.x = np.zeros((84 * nn, 3), order='F')
self.xV = self.x.reshape((nn, 7, 12, 3), order='F')
# Inputs
self.add_input('LOS',
np.zeros((nn, )),
units=None,
desc='Line of Sight over Time')
self.add_input('temperature',
np.zeros((nn, 5)),
units='degK',
desc='Temperature of solar cells over time')
self.add_input(
'exposed_area',
np.zeros((nn, 7, 12)),
units='m**2',
desc='Exposed area to sun for each solar cell over time')
self.add_input('Isetpt',
np.zeros((nn, 12)),
units='A',
desc='Currents of the solar panels')
# Outputs
self.add_output('V_sol',
np.zeros((nn, 12)),
units='V',
desc='Output voltage of solar panel over time')
rows = np.arange(nn * 12)
cols = np.tile(np.repeat(0, 12), nn) + np.repeat(np.arange(nn), 12)
self.declare_partials('V_sol', 'LOS', rows=rows, cols=cols)
row = np.tile(np.repeat(0, 5), 12) + np.repeat(np.arange(12), 5)
rows = np.tile(row, nn) + np.repeat(12 * np.arange(nn), 60)
col = np.tile(np.arange(5), 12)
cols = np.tile(col, nn) + np.repeat(5 * np.arange(nn), 60)
self.declare_partials('V_sol', 'temperature', rows=rows, cols=cols)
row = np.tile(np.arange(12), 7)
rows = np.tile(row, nn) + np.repeat(12 * np.arange(nn), 84)
cols = np.arange(nn * 7 * 12)
self.declare_partials('V_sol', 'exposed_area', rows=rows, cols=cols)
row_col = np.arange(nn * 12)
self.declare_partials('V_sol', 'Isetpt', rows=row_col, cols=row_col)
def setx(self, inputs):
temperature = inputs['temperature']
LOS = inputs['LOS']
exposed_area = inputs['exposed_area']
Isetpt = inputs['Isetpt']
for p in range(12):
i = 4 if p < 4 else (p % 4)
for c in range(7):
self.xV[:, c, p, 0] = temperature[:, i]
self.xV[:, c, p, 1] = LOS * exposed_area[:, c, p]
self.xV[:, c, p, 2] = Isetpt[:, p]
def compute(self, inputs, outputs):
"""
Calculate outputs.
"""
nn = self.options['num_nodes']
self.setx(inputs)
self.raw = self.MBI.evaluate(self.x)[:, 0].reshape((nn, 7, 12),
order='F')
outputs['V_sol'] = np.zeros((nn, 12))
for c in range(7):
outputs['V_sol'] += self.raw[:, c, :]
def compute_partials(self, inputs, partials):
"""
Calculate and save derivatives. (i.e., Jacobian)
"""
nn = self.options['num_nodes']
exposed_area = inputs['exposed_area']
LOS = inputs['LOS']
raw1 = self.MBI.evaluate(self.x, 1)[:, 0].reshape((nn, 7, 12),
order='F')
raw2 = self.MBI.evaluate(self.x, 2)[:, 0].reshape((nn, 7, 12),
order='F')
raw3 = self.MBI.evaluate(self.x, 3)[:, 0].reshape((nn, 7, 12),
order='F')
dV_dL = np.empty((nn, 12))
dV_dT = np.zeros((nn, 12, 5))
dV_dA = np.zeros((nn, 7, 12))
dV_dI = np.empty((nn, 12))
for p in range(12):
i = 4 if p < 4 else (p % 4)
for c in range(7):
dV_dL[:, p] += raw2[:, c, p] * exposed_area[:, c, p]
dV_dT[:, p, i] += raw1[:, c, p]
dV_dA[:, c, p] += raw2[:, c, p] * LOS
dV_dI[:, p] += raw3[:, c, p]
partials['V_sol', 'LOS'] = dV_dL.flatten()
partials['V_sol', 'temperature'] = dV_dT.flatten()
partials['V_sol', 'exposed_area'] = dV_dA.flatten()
partials['V_sol', 'Isetpt'] = dV_dI.flatten()
def setup(self):
nn = self.options['num_nodes']
filename = self.options['filename']
dat = np.genfromtxt(filename)
nT, nA, nI = dat[:3]
nT = int(nT)
nA = int(nA)
nI = int(nI)
T = dat[3:3 + nT]
A = dat[3 + nT:3 + nT + nA]
I = dat[3 + nT + nA:3 + nT + nA + nI] # noqa: E741
V = dat[3 + nT + nA + nI:].reshape((nT, nA, nI), order='F')
self.MBI = MBI(V, [T, A, I], [6, 6, 15], [3, 3, 3])
self.x = np.zeros((84 * nn, 3), order='F')
self.xV = self.x.reshape((nn, 7, 12, 3), order='F')
# Inputs
self.add_input('LOS',
np.zeros((nn, )),
units=None,
desc='Line of Sight over Time')
self.add_input('temperature',
np.zeros((nn, 5)),
units='degK',
desc='Temperature of solar cells over time')
self.add_input(
'exposed_area',
np.zeros((nn, 7, 12)),
units='m**2',
desc='Exposed area to sun for each solar cell over time')
self.add_input('Isetpt',
np.zeros((nn, 12)),
units='A',
desc='Currents of the solar panels')
# Outputs
self.add_output('V_sol',
np.zeros((nn, 12)),
units='V',
desc='Output voltage of solar panel over time')
rows = np.arange(nn * 12)
cols = np.tile(np.repeat(0, 12), nn) + np.repeat(np.arange(nn), 12)
self.declare_partials('V_sol', 'LOS', rows=rows, cols=cols)
row = np.tile(np.repeat(0, 5), 12) + np.repeat(np.arange(12), 5)
rows = np.tile(row, nn) + np.repeat(12 * np.arange(nn), 60)
col = np.tile(np.arange(5), 12)
cols = np.tile(col, nn) + np.repeat(5 * np.arange(nn), 60)
self.declare_partials('V_sol', 'temperature', rows=rows, cols=cols)
row = np.tile(np.arange(12), 7)
rows = np.tile(row, nn) + np.repeat(12 * np.arange(nn), 84)
cols = np.arange(nn * 7 * 12)
self.declare_partials('V_sol', 'exposed_area', rows=rows, cols=cols)
row_col = np.arange(nn * 12)
self.declare_partials('V_sol', 'Isetpt', rows=row_col, cols=row_col)
class Solar_ExposedArea(Component):
'''Exposed area calculation for a given solar cell
p: panel ID [0,11]
c: cell ID [0,6]
a: fin angle [0,90]
z: azimuth [0,360]
e: elevation [0,180]
LOS: line of sight with the sun [0,1]
'''
# Inputs
finAngle = Float(0., iotype="in", copy=None)
def __init__(self, n, raw1=None, raw2=None):
super(Solar_ExposedArea, self).__init__()
if raw1 is None:
raw1 = np.genfromtxt('CADRE/data/Solar/Area10.txt')
if raw2 is None:
raw2 = np.loadtxt("CADRE/data/Solar/Area_all.txt")
self.n = n
self.nc = 7
self.np = 12
# Inputs
self.add('azimuth', Array(np.zeros((n,)), size=(n,), dtype=np.float,
iotype='in'))
self.add('elevation', Array(np.zeros((n,)), size=(n,), dtype=np.float,
iotype='in'))
# Outputs
self.add('exposedArea', Array(np.zeros((self.nc, self.np, self.n)),
size=(self.nc, self.np, self.n),
dtype=np.float, iotype='out',
low=-5e-3, high=1.834e-1))
self.na = 10
self.nz = 73
self.ne = 37
angle = np.zeros(self.na)
azimuth = np.zeros(self.nz)
elevation = np.zeros(self.ne)
index = 0
for i in range(self.na):
angle[i] = raw1[index]
index += 1
for i in range(self.nz):
azimuth[i] = raw1[index]
index += 1
index -= 1
azimuth[self.nz-1] = 2.0*np.pi
for i in range(self.ne):
elevation[i] = raw1[index]
index += 1
angle[0] = 0.0
angle[-1] = np.pi/2.0
azimuth[0] = 0.0
azimuth[-1] = 2*np.pi
elevation[0] = 0.0
elevation[-1] = np.pi
counter = 0
data = np.zeros((self.na, self.nz, self.ne, self.np*self.nc))
flat_size = self.na*self.nz*self.ne
for p in range(self.np):
for c in range(self.nc):
data[:, :, :, counter] = \
raw2[7*p+c][119:119+flat_size].reshape((self.na,
self.nz,
self.ne))
counter += 1
self.MBI = MBI(data, [angle, azimuth, elevation],
[4, 10, 8],
[4, 4, 4])
self.x = np.zeros((self.n, 3))
self.Jfin = None
self.Jaz = None
self.Jel = None
def setx(self):
""" Sets our state array"""
result = fixangles(self.n, self.azimuth, self.elevation)
self.x[:, 0] = self.finAngle
self.x[:, 1] = result[0]
self.x[:, 2] = result[1]
def linearize(self):
""" Calculate and save derivatives. (i.e., Jacobian) """
self.Jfin = self.MBI.evaluate(self.x, 1).reshape(self.n, 7, 12,
order='F')
self.Jaz = self.MBI.evaluate(self.x, 2).reshape(self.n, 7, 12,
order='F')
self.Jel = self.MBI.evaluate(self.x, 3).reshape(self.n, 7, 12,
order='F')
def execute(self):
""" Calculate output. """
self.setx()
P = self.MBI.evaluate(self.x).T
self.exposedArea = P.reshape(7, 12, self.n, order='F')
def apply_deriv(self, arg, result):
""" Matrix-vector product with the Jacobian. """
if 'exposedArea' in result:
for c in range(7):
if 'finAngle' in arg:
result['exposedArea'][c, :, :] += \
self.Jfin[:, c, :].T*arg['finAngle']
if 'azimuth' in arg:
result['exposedArea'][c, :, :] += \
self.Jaz[:, c, :].T*arg['azimuth']
if 'elevation' in arg:
result['exposedArea'][c, :, :] += \
self.Jel[:, c, :].T*arg['elevation']
def apply_derivT(self, arg, result):
""" Matrix-vector product with the transpose of the Jacobian. """
if 'exposedArea' in arg:
for c in range(7):
# incoming arg is often sparse, so check it first
if len(np.nonzero(arg['exposedArea'][c, :, :])[0]) == 0:
continue
if 'finAngle' in result:
result['finAngle'] += \
np.sum(self.Jfin[:, c, :].T*arg['exposedArea'][c, :, :])
if 'azimuth' in result:
result['azimuth'] += \
np.sum(self.Jaz[:, c, :].T*arg['exposedArea'][c, :, :], 0)
if 'elevation' in result:
result['elevation'] += \
np.sum(self.Jel[:, c, :].T*arg['exposedArea'][c, :, :], 0)
def __init__(self, n, raw1=None, raw2=None):
super(Solar_ExposedArea, self).__init__()
if raw1 is None:
fpath = os.path.dirname(os.path.realpath(__file__))
raw1 = np.genfromtxt(fpath + '/data/Solar/Area10.txt')
if raw2 is None:
fpath = os.path.dirname(os.path.realpath(__file__))
raw2 = np.loadtxt(fpath + "/data/Solar/Area_all.txt")
self.n = n
self.nc = 7
self.np = 12
# Inputs
self.add_param('finAngle', 0.0, units="rad",
desc="Fin angle of solar panel")
self.add_param('azimuth', np.zeros((n, )), units='rad',
desc="Azimuth angle of the sun in the body-fixed frame "
"over time")
self.add_param('elevation', np.zeros((n, )), units='rad',
desc='Elevation angle of the sun in the body-fixed '
'frame over time')
# Outputs
self.add_output('exposedArea', np.zeros((self.nc, self.np, self.n)),
desc="Exposed area to sun for each solar cell over time",
units='m**2', low=-5e-3, high=1.834e-1)
self.na = 10
self.nz = 73
self.ne = 37
angle = np.zeros(self.na)
azimuth = np.zeros(self.nz)
elevation = np.zeros(self.ne)
index = 0
for i in range(self.na):
angle[i] = raw1[index]
index += 1
for i in range(self.nz):
azimuth[i] = raw1[index]
index += 1
index -= 1
azimuth[self.nz - 1] = 2.0 * np.pi
for i in range(self.ne):
elevation[i] = raw1[index]
index += 1
angle[0] = 0.0
angle[-1] = np.pi / 2.0
azimuth[0] = 0.0
azimuth[-1] = 2 * np.pi
elevation[0] = 0.0
elevation[-1] = np.pi
counter = 0
data = np.zeros((self.na, self.nz, self.ne, self.np * self.nc))
flat_size = self.na * self.nz * self.ne
for p in range(self.np):
for c in range(self.nc):
data[:, :, :, counter] = \
raw2[7 * p + c][119:119 + flat_size].reshape((self.na,
self.nz,
self.ne))
counter += 1
self.MBI = MBI(data, [angle, azimuth, elevation],
[4, 10, 8],
[4, 4, 4])
self.x = np.zeros((self.n, 3))
self.Jfin = None
self.Jaz = None
self.Jel = None
class Solar_ExposedArea(ExplicitComponent):
"""
Exposed area calculation for a given solar cell
p: panel ID [0,11]
c: cell ID [0,6]
a: fin angle [0,90]
z: azimuth [0,360]
e: elevation [0,180]
LOS: line of sight with the sun [0,1]
"""
def __init__(self, n, raw1_file=None, raw2_file=None):
super(Solar_ExposedArea, self).__init__()
self.n = n
self.raw1_file = raw1_file
self.raw2_file = raw2_file
def setup(self):
n = self.n
raw1_file = self.raw1_file
raw2_file = self.raw2_file
fpath = os.path.dirname(os.path.realpath(__file__))
if not raw1_file:
raw1_file = fpath + '/data/Solar/Area10.txt'
if not raw2_file:
raw2_file = fpath + '/data/Solar/Area_all.txt'
raw1 = np.genfromtxt(raw1_file)
raw2 = np.loadtxt(raw2_file)
nc = self.nc = 7
self.np = 12
self.na = 10
self.nz = 73
self.ne = 37
angle = np.zeros(self.na)
azimuth = np.zeros(self.nz)
elevation = np.zeros(self.ne)
index = 0
for i in range(self.na):
angle[i] = raw1[index]
index += 1
for i in range(self.nz):
azimuth[i] = raw1[index]
index += 1
index -= 1
azimuth[self.nz - 1] = 2.0 * np.pi
for i in range(self.ne):
elevation[i] = raw1[index]
index += 1
angle[0] = 0.0
angle[-1] = np.pi / 2.0
azimuth[0] = 0.0
azimuth[-1] = 2 * np.pi
elevation[0] = 0.0
elevation[-1] = np.pi
counter = 0
data = np.zeros((self.na, self.nz, self.ne, self.np * self.nc))
flat_size = self.na * self.nz * self.ne
for p in range(self.np):
for c in range(nc):
data[:, :, :, counter] = \
raw2[nc * p + c][119:119 + flat_size].reshape((self.na,
self.nz,
self.ne))
counter += 1
self.MBI = MBI(data, [angle, azimuth, elevation], [4, 10, 8],
[4, 4, 4])
self.MBI.seterr('raise')
self.x = np.zeros((self.n, 3))
self.Jfin = None
self.Jaz = None
self.Jel = None
# Inputs
self.add_input('finAngle',
0.0,
units='rad',
desc='Fin angle of solar panel')
self.add_input(
'azimuth',
np.zeros((n, )),
units='rad',
desc='Azimuth angle of the sun in the body-fixed frame over time')
self.add_input(
'elevation',
np.zeros((n, )),
units='rad',
desc='Elevation angle of the sun in the body-fixed frame over time'
)
# Outputs
self.add_output(
'exposedArea',
np.zeros((n, self.nc, self.np)),
desc='Exposed area to sun for each solar cell over time',
units='m**2',
lower=-5e-3,
upper=1.834e-1)
self.declare_partials('exposedArea', 'finAngle')
nn = self.nc * self.np
rows = np.tile(np.arange(nn), n) + np.repeat(nn * np.arange(n), nn)
cols = np.tile(np.repeat(0, nn), n) + np.repeat(np.arange(n), nn)
self.declare_partials('exposedArea', 'azimuth', rows=rows, cols=cols)
self.declare_partials('exposedArea', 'elevation', rows=rows, cols=cols)
def compute(self, inputs, outputs):
"""
Calculate outputs.
"""
self.setx(inputs)
P = self.MBI.evaluate(self.x)
outputs['exposedArea'] = P.reshape(self.n, self.nc, self.np, order='F')
def setx(self, inputs):
"""
Sets our state array
"""
result = fixangles(self.n, inputs['azimuth'], inputs['elevation'])
self.x[:, 0] = inputs['finAngle']
self.x[:, 1] = result[0]
self.x[:, 2] = result[1]
def compute_partials(self, inputs, partials):
"""
Calculate and save derivatives. (i.e., Jacobian)
"""
Jfin = self.MBI.evaluate(self.x, 1).reshape(self.n,
self.nc,
self.np,
order='F')
Jaz = self.MBI.evaluate(self.x, 2).reshape(self.n,
self.nc,
self.np,
order='F')
Jel = self.MBI.evaluate(self.x, 3).reshape(self.n,
self.nc,
self.np,
order='F')
partials['exposedArea', 'finAngle'] = Jfin.flatten()
partials['exposedArea', 'azimuth'] = Jaz.flatten()
partials['exposedArea', 'elevation'] = Jel.flatten()
def __init__(self, n, raw1=None, raw2=None):
super(Solar_ExposedArea, self).__init__()
if raw1 is None:
fpath = os.path.dirname(os.path.realpath(__file__))
raw1 = np.genfromtxt(fpath + '/data/Solar/Area10.txt')
if raw2 is None:
fpath = os.path.dirname(os.path.realpath(__file__))
raw2 = np.loadtxt(fpath + "/data/Solar/Area_all.txt")
self.n = n
self.nc = 7
self.np = 12
# Inputs
self.add_param('finAngle',
0.0,
units="rad",
desc="Fin angle of solar panel")
self.add_param('azimuth',
np.zeros((n, )),
units='rad',
desc="Azimuth angle of the sun in the body-fixed frame "
"over time")
self.add_param('elevation',
np.zeros((n, )),
units='rad',
desc='Elevation angle of the sun in the body-fixed '
'frame over time')
# Outputs
self.add_output(
'exposedArea',
np.zeros((self.nc, self.np, self.n)),
desc="Exposed area to sun for each solar cell over time",
units='m**2',
low=-5e-3,
high=1.834e-1)
self.na = 10
self.nz = 73
self.ne = 37
angle = np.zeros(self.na)
azimuth = np.zeros(self.nz)
elevation = np.zeros(self.ne)
index = 0
for i in range(self.na):
angle[i] = raw1[index]
index += 1
for i in range(self.nz):
azimuth[i] = raw1[index]
index += 1
index -= 1
azimuth[self.nz - 1] = 2.0 * np.pi
for i in range(self.ne):
elevation[i] = raw1[index]
index += 1
angle[0] = 0.0
angle[-1] = np.pi / 2.0
azimuth[0] = 0.0
azimuth[-1] = 2 * np.pi
elevation[0] = 0.0
elevation[-1] = np.pi
counter = 0
data = np.zeros((self.na, self.nz, self.ne, self.np * self.nc))
flat_size = self.na * self.nz * self.ne
for p in range(self.np):
for c in range(self.nc):
data[:, :, :, counter] = \
raw2[7 * p + c][119:119 + flat_size].reshape((self.na,
self.nz,
self.ne))
counter += 1
self.MBI = MBI(data, [angle, azimuth, elevation], [4, 10, 8],
[4, 4, 4])
self.x = np.zeros((self.n, 3))
self.Jfin = None
self.Jaz = None
self.Jel = None
class BsplineParameters(ExplicitComponent):
"""
Creates a Bspline interpolant for several CADRE variables
so that their time histories can be shaped with m control points
instead of n time points.
"""
def __init__(self, n, m):
super(BsplineParameters, self).__init__()
self.n = n
self.m = m
self.deriv_cached = False
def setup(self):
m = self.m
n = self.n
# Inputs
self.add_input('t1', 0., units='s', desc='Start time')
self.add_input('t2', 43200., units='s', desc='End time')
self.add_input('CP_P_comm', np.zeros((m, )), units='W',
desc='Communication power at the control points')
self.add_input('CP_gamma', np.zeros((m, )), units='rad',
desc='Satellite roll angle at control points')
self.add_input('CP_Isetpt', np.zeros((12, m)), units='A',
desc='Currents of the solar panels at the control points')
# Outputs
self.add_output('P_comm', np.ones((n, )), units='W',
desc='Communication power over time')
self.add_output('Gamma', 0.1*np.ones((n,)), units='rad',
desc='Satellite roll angle over time')
self.add_output('Isetpt', 0.2*np.ones((12, n)), units='A',
desc='Currents of the solar panels over time')
def compute(self, inputs, outputs):
"""
Calculate outputs.
"""
# Only need to do this once.
if self.deriv_cached is False:
t1 = inputs['t1']
t2 = inputs['t2']
n = self.n
self.B = MBI(np.zeros(n), [np.linspace(t1, t2, n)], [self.m], [4]).getJacobian(0, 0)
self.Bdot = MBI(np.zeros(n), [np.linspace(t1, t2, n)], [self.m], [4]).getJacobian(1, 0)
self.BT = self.B.transpose()
self.BdotT = self.Bdot.transpose()
self.deriv_cached = True
outputs['P_comm'] = self.B.dot(inputs['CP_P_comm'])
outputs['Gamma'] = self.B.dot(inputs['CP_gamma'])
for k in range(12):
outputs['Isetpt'][k, :] = self.B.dot(inputs['CP_Isetpt'][k, :])
def compute_jacvec_product(self, inputs, d_inputs, d_outputs, mode):
"""
Matrix-vector product with the Jacobian.
"""
if mode == 'fwd':
if 'P_comm' in d_outputs and 'CP_P_comm' in d_inputs:
d_outputs['P_comm'] += self.B.dot(d_inputs['CP_P_comm'])
if 'Gamma' in d_outputs and 'CP_gamma' in d_inputs:
d_outputs['Gamma'] += self.B.dot(d_inputs['CP_gamma'])
if 'Isetpt' in d_outputs and 'CP_Isetpt' in d_inputs:
for k in range(12):
d_outputs['Isetpt'][k, :] += self.B.dot(d_inputs['CP_Isetpt'][k, :])
else:
if 'P_comm' in d_outputs and 'CP_P_comm' in d_inputs:
d_inputs['CP_P_comm'] += self.BT.dot(d_outputs['P_comm'])
if 'Gamma' in d_outputs and 'CP_gamma' in d_inputs:
d_inputs['CP_gamma'] += self.BT.dot(d_outputs['Gamma'])
if 'Isetpt' in d_outputs and 'CP_Isetpt' in d_inputs:
for k in range(12):
d_inputs['CP_Isetpt'][k, :] += self.BT.dot(d_outputs['Isetpt'][k, :])
class Solar_ExposedArea(Component):
'''Exposed area calculation for a given solar cell
p: panel ID [0,11]
c: cell ID [0,6]
a: fin angle [0,90]
z: azimuth [0,360]
e: elevation [0,180]
LOS: line of sight with the sun [0,1]
'''
# Inputs
finAngle = Float(0., iotype="in", units="rad", desc="Fin angle of solar panel", copy=None)
def __init__(self, n, raw1=None, raw2=None):
super(Solar_ExposedArea, self).__init__()
if raw1 is None:
fpath = os.path.dirname(os.path.realpath(__file__))
raw1 = np.genfromtxt(fpath + '/data/Solar/Area10.txt')
if raw2 is None:
fpath = os.path.dirname(os.path.realpath(__file__))
raw2 = np.loadtxt(fpath + "/data/Solar/Area_all.txt")
self.n = n
self.nc = 7
self.np = 12
# Inputs
self.add('azimuth', Array(np.zeros((n,)), size=(n,), dtype=np.float,
units='rad',
desc='Azimuth angle of the sun in the body-fixed frame over time',
iotype='in'))
self.add('elevation', Array(np.zeros((n,)), size=(n,), dtype=np.float,
units='rad',
desc='Elevation angle of the sun in the body-fixed frame over time',
iotype='in'))
# Outputs
self.add('exposedArea', Array(np.zeros((self.nc, self.np, self.n)),
size=(self.nc, self.np, self.n),
dtype=np.float, iotype='out',
desc="Exposed area to sun for each solar cell over time",
units='m**2',
low=-5e-3, high=1.834e-1))
self.na = 10
self.nz = 73
self.ne = 37
angle = np.zeros(self.na)
azimuth = np.zeros(self.nz)
elevation = np.zeros(self.ne)
index = 0
for i in range(self.na):
angle[i] = raw1[index]
index += 1
for i in range(self.nz):
azimuth[i] = raw1[index]
index += 1
index -= 1
azimuth[self.nz - 1] = 2.0 * np.pi
for i in range(self.ne):
elevation[i] = raw1[index]
index += 1
angle[0] = 0.0
angle[-1] = np.pi / 2.0
azimuth[0] = 0.0
azimuth[-1] = 2 * np.pi
elevation[0] = 0.0
elevation[-1] = np.pi
counter = 0
data = np.zeros((self.na, self.nz, self.ne, self.np * self.nc))
flat_size = self.na * self.nz * self.ne
for p in range(self.np):
for c in range(self.nc):
data[:, :, :, counter] = \
raw2[7 * p + c][119:119 + flat_size].reshape((self.na,
self.nz,
self.ne))
counter += 1
self.MBI = MBI(data, [angle, azimuth, elevation],
[4, 10, 8],
[4, 4, 4])
self.x = np.zeros((self.n, 3))
self.Jfin = None
self.Jaz = None
self.Jel = None
def list_deriv_vars(self):
input_keys = ('azimuth', 'elevation', 'finAngle',)
output_keys = ('exposedArea',)
return input_keys, output_keys
def setx(self):
""" Sets our state array"""
result = fixangles(self.n, self.azimuth, self.elevation)
self.x[:, 0] = self.finAngle
self.x[:, 1] = result[0]
self.x[:, 2] = result[1]
def provideJ(self):
""" Calculate and save derivatives (i.e., Jacobian). """
self.Jfin = self.MBI.evaluate(self.x, 1).reshape(self.n, 7, 12,
order='F')
self.Jaz = self.MBI.evaluate(self.x, 2).reshape(self.n, 7, 12,
order='F')
self.Jel = self.MBI.evaluate(self.x, 3).reshape(self.n, 7, 12,
order='F')
def execute(self):
""" Calculate output. """
self.setx()
P = self.MBI.evaluate(self.x).T
self.exposedArea = P.reshape(7, 12, self.n, order='F')
def apply_deriv(self, arg, result):
""" Matrix-vector product with the Jacobian. """
if 'exposedArea' in result:
for c in range(7):
if 'finAngle' in arg:
result['exposedArea'][c, :, :] += \
self.Jfin[:, c, :].T * arg['finAngle']
if 'azimuth' in arg:
result['exposedArea'][c, :, :] += \
self.Jaz[:, c, :].T * arg['azimuth']
if 'elevation' in arg:
result['exposedArea'][c, :, :] += \
self.Jel[:, c, :].T * arg['elevation']
def apply_derivT(self, arg, result):
""" Matrix-vector product with the transpose of the Jacobian. """
if 'exposedArea' in arg:
for c in range(7):
# incoming arg is often sparse, so check it first
if len(np.nonzero(arg['exposedArea'][c, :, :])[0]) == 0:
continue
if 'finAngle' in result:
result['finAngle'] += \
np.sum(
self.Jfin[:, c, :].T * arg['exposedArea'][c, :, :])
if 'azimuth' in result:
result['azimuth'] += \
np.sum(
self.Jaz[:, c, :].T * arg['exposedArea'][c, :, :], 0)
if 'elevation' in result:
result['elevation'] += \
np.sum(
self.Jel[:, c, :].T * arg['exposedArea'][c, :, :], 0)
class CommGainPatternComp(ExplicitComponent):
"""
Determines transmitter gain based on an external az-el map.
"""
#
# def __init__(self, num_nodes, rawG_file=None):
# super(CommGainPatternComp, self).__init__(num_nodes=num_nodes)
#
# if not rawG_file:
# fpath = os.path.dirname(os.path.realpath(__file__))
# rawG_file = fpath + '/data/Comm/Gain.txt'
#
# rawGdata = np.genfromtxt(rawG_file)
# rawG = (10 ** (rawGdata / 10.0)).reshape((361, 361), order='F')
#
# pi = np.pi
# az = np.linspace(0, 2 * pi, 361)
# el = np.linspace(0, 2 * pi, 361)
#
# self.MBI = MBI(rawG, [az, el], [15, 15], [4, 4])
# self.x = np.zeros((self.n, 2), order='F')
def initialize(self):
dir_path = os.path.dirname(os.path.realpath(__file__))
parent_path = os.path.abspath(os.path.join(dir_path, os.pardir))
rawG_file = os.path.join(parent_path, 'data/Comm/Gain.txt')
self.options.declare('num_nodes', types=(int, ))
self.options.declare('rawG_file', types=(str, ), default=rawG_file)
def setup(self):
nn = self.options['num_nodes']
rawGdata = np.genfromtxt(self.options['rawG_file'])
rawG = (10**(rawGdata / 10.0)).reshape((361, 361), order='F')
pi = np.pi
az = np.linspace(0, 2 * pi, 361)
el = np.linspace(0, 2 * pi, 361)
self.MBI = MBI(rawG, [az, el], [15, 15], [4, 4])
self.MBI.seterr('raise')
self.x = np.zeros((nn, 2), order='F')
# Inputs
self.add_input(
'azimuthGS',
np.zeros(nn),
units='rad',
desc='Azimuth angle from satellite to ground station in '
'Earth-fixed frame over time')
self.add_input('elevationGS',
np.zeros(nn),
units='rad',
desc='Elevation angle from satellite to ground station '
'in Earth-fixed frame over time')
# Outputs
self.add_output('gain',
np.zeros(nn),
units=None,
desc='Transmitter gain over time')
row_col = np.arange(nn)
self.declare_partials('gain',
'elevationGS',
rows=row_col,
cols=row_col)
self.declare_partials('gain', 'azimuthGS', rows=row_col, cols=row_col)
def compute(self, inputs, outputs):
"""
Calculate outputs.
"""
result = fixangles(self.options['num_nodes'], inputs['azimuthGS'],
inputs['elevationGS'])
self.x[:, 0] = result[0]
self.x[:, 1] = result[1]
outputs['gain'] = self.MBI.evaluate(self.x)[:, 0]
def compute_partials(self, inputs, partials):
"""
Calculate and save derivatives. (i.e., Jacobian)
"""
partials['gain', 'azimuthGS'] = self.MBI.evaluate(self.x, 1)[:, 0]
partials['gain', 'elevationGS'] = self.MBI.evaluate(self.x, 2)[:, 0]
class BsplineParameters(ExplicitComponent):
"""
Creates a Bspline interpolant for several CADRE variables
so that their time histories can be shaped with m control points
instead of n time points.
"""
def __init__(self, n, m):
super(BsplineParameters, self).__init__()
self.n = n
self.m = m
self.deriv_cached = False
def setup(self):
m = self.m
n = self.n
# Inputs
self.add_input('t1', 0., units='s', desc='Start time')
self.add_input('t2', 43200., units='s', desc='End time')
self.add_input('CP_P_comm',
np.zeros((m, )),
units='W',
desc='Communication power at the control points')
self.add_input('CP_gamma',
np.zeros((m, )),
units='rad',
desc='Satellite roll angle at control points')
self.add_input(
'CP_Isetpt',
np.zeros((12, m)),
units='A',
desc='Currents of the solar panels at the control points')
# Outputs
self.add_output('P_comm',
np.ones((n, )),
units='W',
desc='Communication power over time')
self.add_output('Gamma',
0.1 * np.ones((n, )),
units='rad',
desc='Satellite roll angle over time')
self.add_output('Isetpt',
0.2 * np.ones((12, n)),
units='A',
desc='Currents of the solar panels over time')
def compute(self, inputs, outputs):
"""
Calculate outputs.
"""
# Only need to do this once.
if self.deriv_cached is False:
t1 = inputs['t1']
t2 = inputs['t2']
n = self.n
self.B = MBI(np.zeros(n), [np.linspace(t1, t2, n)], [self.m],
[4]).getJacobian(0, 0)
self.Bdot = MBI(np.zeros(n), [np.linspace(t1, t2, n)], [self.m],
[4]).getJacobian(1, 0)
self.BT = self.B.transpose()
self.BdotT = self.Bdot.transpose()
self.deriv_cached = True
outputs['P_comm'] = self.B.dot(inputs['CP_P_comm'])
outputs['Gamma'] = self.B.dot(inputs['CP_gamma'])
for k in range(12):
outputs['Isetpt'][k, :] = self.B.dot(inputs['CP_Isetpt'][k, :])
def compute_jacvec_product(self, inputs, d_inputs, d_outputs, mode):
"""
Matrix-vector product with the Jacobian.
"""
if mode == 'fwd':
if 'P_comm' in d_outputs and 'CP_P_comm' in d_inputs:
d_outputs['P_comm'] += self.B.dot(d_inputs['CP_P_comm'])
if 'Gamma' in d_outputs and 'CP_gamma' in d_inputs:
d_outputs['Gamma'] += self.B.dot(d_inputs['CP_gamma'])
if 'Isetpt' in d_outputs and 'CP_Isetpt' in d_inputs:
for k in range(12):
d_outputs['Isetpt'][k, :] += self.B.dot(
d_inputs['CP_Isetpt'][k, :])
else:
if 'P_comm' in d_outputs and 'CP_P_comm' in d_inputs:
d_inputs['CP_P_comm'] += self.BT.dot(d_outputs['P_comm'])
if 'Gamma' in d_outputs and 'CP_gamma' in d_inputs:
d_inputs['CP_gamma'] += self.BT.dot(d_outputs['Gamma'])
if 'Isetpt' in d_outputs and 'CP_Isetpt' in d_inputs:
for k in range(12):
d_inputs['CP_Isetpt'][k, :] += self.BT.dot(
d_outputs['Isetpt'][k, :])
class Solar_ExposedArea(Component):
"""Exposed area calculation for a given solar cell
p: panel ID [0,11]
c: cell ID [0,6]
a: fin angle [0,90]
z: azimuth [0,360]
e: elevation [0,180]
LOS: line of sight with the sun [0,1]
"""
def __init__(self, n, raw1=None, raw2=None):
super(Solar_ExposedArea, self).__init__()
if raw1 is None:
fpath = os.path.dirname(os.path.realpath(__file__))
raw1 = np.genfromtxt(fpath + '/data/Solar/Area10.txt')
if raw2 is None:
fpath = os.path.dirname(os.path.realpath(__file__))
raw2 = np.loadtxt(fpath + "/data/Solar/Area_all.txt")
self.n = n
self.nc = 7
self.np = 12
# Inputs
self.add_param('finAngle',
0.0,
units="rad",
desc="Fin angle of solar panel")
self.add_param('azimuth',
np.zeros((n, )),
units='rad',
desc="Azimuth angle of the sun in the body-fixed frame "
"over time")
self.add_param('elevation',
np.zeros((n, )),
units='rad',
desc='Elevation angle of the sun in the body-fixed '
'frame over time')
# Outputs
self.add_output(
'exposedArea',
np.zeros((self.nc, self.np, self.n)),
desc="Exposed area to sun for each solar cell over time",
units='m**2',
low=-5e-3,
high=1.834e-1)
self.na = 10
self.nz = 73
self.ne = 37
angle = np.zeros(self.na)
azimuth = np.zeros(self.nz)
elevation = np.zeros(self.ne)
index = 0
for i in range(self.na):
angle[i] = raw1[index]
index += 1
for i in range(self.nz):
azimuth[i] = raw1[index]
index += 1
index -= 1
azimuth[self.nz - 1] = 2.0 * np.pi
for i in range(self.ne):
elevation[i] = raw1[index]
index += 1
angle[0] = 0.0
angle[-1] = np.pi / 2.0
azimuth[0] = 0.0
azimuth[-1] = 2 * np.pi
elevation[0] = 0.0
elevation[-1] = np.pi
counter = 0
data = np.zeros((self.na, self.nz, self.ne, self.np * self.nc))
flat_size = self.na * self.nz * self.ne
for p in range(self.np):
for c in range(self.nc):
data[:, :, :, counter] = \
raw2[7 * p + c][119:119 + flat_size].reshape((self.na,
self.nz,
self.ne))
counter += 1
self.MBI = MBI(data, [angle, azimuth, elevation], [4, 10, 8],
[4, 4, 4])
self.x = np.zeros((self.n, 3))
self.Jfin = None
self.Jaz = None
self.Jel = None
def solve_nonlinear(self, params, unknowns, resids):
""" Calculate output. """
self.setx(params)
P = self.MBI.evaluate(self.x).T
unknowns['exposedArea'] = P.reshape(7, 12, self.n, order='F')
def setx(self, params):
""" Sets our state array"""
result = fixangles(self.n, params['azimuth'], params['elevation'])
self.x[:, 0] = params['finAngle']
self.x[:, 1] = result[0]
self.x[:, 2] = result[1]
def jacobian(self, params, unknowns, resids):
""" Calculate and save derivatives. (i.e., Jacobian) """
self.Jfin = self.MBI.evaluate(self.x, 1).reshape(self.n,
7,
12,
order='F')
self.Jaz = self.MBI.evaluate(self.x, 2).reshape(self.n,
7,
12,
order='F')
self.Jel = self.MBI.evaluate(self.x, 3).reshape(self.n,
7,
12,
order='F')
def apply_linear(self, params, unknowns, dparams, dunknowns, dresids,
mode):
""" Matrix-vector product with the Jacobian. """
deA = dresids['exposedArea']
if mode == 'fwd':
for c in range(7):
if 'finAngle' in dparams:
deA[c, :, :] += \
self.Jfin[:, c, :].T * dparams['finAngle']
if 'azimuth' in dparams:
deA[c, :, :] += \
self.Jaz[:, c, :].T * dparams['azimuth']
if 'elevation' in dparams:
deA[c, :, :] += \
self.Jel[:, c, :].T * dparams['elevation']
else:
for c in range(7):
# incoming arg is often sparse, so check it first
if len(np.nonzero(dresids['exposedArea'][c, :, :])[0]) == 0:
continue
if 'finAngle' in dparams:
dparams['finAngle'] += \
np.sum(
self.Jfin[:, c, :].T * deA[c, :, :])
if 'azimuth' in dparams:
dparams['azimuth'] += \
np.sum(
self.Jaz[:, c, :].T * deA[c, :, :], 0)
if 'elevation' in dparams:
dparams['elevation'] += \
np.sum(
self.Jel[:, c, :].T * deA[c, :, :], 0)
def __init__(self, n, raw1=None, raw2=None):
super(Solar_ExposedArea, self).__init__()
if raw1 is None:
raw1 = np.genfromtxt('CADRE/data/Solar/Area10.txt')
if raw2 is None:
raw2 = np.loadtxt("CADRE/data/Solar/Area_all.txt")
self.n = n
self.nc = 7
self.np = 12
# Inputs
self.add('azimuth', Array(np.zeros((n,)), size=(n,), dtype=np.float,
iotype='in'))
self.add('elevation', Array(np.zeros((n,)), size=(n,), dtype=np.float,
iotype='in'))
# Outputs
self.add('exposedArea', Array(np.zeros((self.nc, self.np, self.n)),
size=(self.nc, self.np, self.n),
dtype=np.float, iotype='out',
low=-5e-3, high=1.834e-1))
self.na = 10
self.nz = 73
self.ne = 37
angle = np.zeros(self.na)
azimuth = np.zeros(self.nz)
elevation = np.zeros(self.ne)
index = 0
for i in range(self.na):
angle[i] = raw1[index]
index += 1
for i in range(self.nz):
azimuth[i] = raw1[index]
index += 1
index -= 1
azimuth[self.nz-1] = 2.0*np.pi
for i in range(self.ne):
elevation[i] = raw1[index]
index += 1
angle[0] = 0.0
angle[-1] = np.pi/2.0
azimuth[0] = 0.0
azimuth[-1] = 2*np.pi
elevation[0] = 0.0
elevation[-1] = np.pi
counter = 0
data = np.zeros((self.na, self.nz, self.ne, self.np*self.nc))
flat_size = self.na*self.nz*self.ne
for p in range(self.np):
for c in range(self.nc):
data[:, :, :, counter] = \
raw2[7*p+c][119:119+flat_size].reshape((self.na,
self.nz,
self.ne))
counter += 1
self.MBI = MBI(data, [angle, azimuth, elevation],
[4, 10, 8],
[4, 4, 4])
self.x = np.zeros((self.n, 3))
self.Jfin = None
self.Jaz = None
self.Jel = None
def __init__(self, n, raw1_file=None, raw2_file=None):
super(Solar_ExposedArea, self).__init__()
fpath = os.path.dirname(os.path.realpath(__file__))
if not raw1_file:
raw1_file = fpath + '/data/Solar/Area10.txt'
if not raw2_file:
raw2_file = fpath + '/data/Solar/Area_all.txt'
raw1 = np.genfromtxt(raw1_file)
raw2 = np.loadtxt(raw2_file)
self.n = n
self.nc = 7
self.np = 12
self.na = 10
self.nz = 73
self.ne = 37
angle = np.zeros(self.na)
azimuth = np.zeros(self.nz)
elevation = np.zeros(self.ne)
index = 0
for i in range(self.na):
angle[i] = raw1[index]
index += 1
for i in range(self.nz):
azimuth[i] = raw1[index]
index += 1
index -= 1
azimuth[self.nz - 1] = 2.0 * np.pi
for i in range(self.ne):
elevation[i] = raw1[index]
index += 1
angle[0] = 0.0
angle[-1] = np.pi / 2.0
azimuth[0] = 0.0
azimuth[-1] = 2 * np.pi
elevation[0] = 0.0
elevation[-1] = np.pi
counter = 0
data = np.zeros((self.na, self.nz, self.ne, self.np * self.nc))
flat_size = self.na * self.nz * self.ne
for p in range(self.np):
for c in range(self.nc):
data[:, :, :, counter] = \
raw2[7 * p + c][119:119 + flat_size].reshape((self.na,
self.nz,
self.ne))
counter += 1
self.MBI = MBI(data, [angle, azimuth, elevation],
[4, 10, 8],
[4, 4, 4])
self.x = np.zeros((self.n, 3))
self.Jfin = None
self.Jaz = None
self.Jel = None
