def __init__(self, n, m):
super(BsplineParameters, self).__init__()
self.n = n
self.m = m
self.add('t1', Float(0., iotype='in'))
self.add('t2', Float(43200., iotype='in'))
self.B = MBI(np.zeros(n),
[np.linspace(self.t1,self.t2,n)], [self.m], [4]).getJacobian(0,0)
self.Bdot = MBI(np.zeros(n),
[np.linspace(self.t1,self.t2,n)], [self.m], [4]).getJacobian(1,0)
self.BT = self.B.transpose()
self.BdotT = self.Bdot.transpose()
self.add('CP_P_comm', Array(np.zeros((self.m,)), size=(self.m,), dtype=float,
iotype='in'))
self.add('CP_gamma', Array(np.zeros((self.m,)), size=(self.m,), dtype=float,
iotype='in'))
self.add('CP_Isetpt', Array(np.zeros((12,self.m)), size=(12,self.m), dtype=float,
iotype='in'))
self.add('P_comm', Array(np.ones((n,)), size=(n,), dtype=float,
iotype='out'))
self.add('Gamma', Array(0.1*np.ones((n,)), size=(n,), dtype=float,
iotype='out'))
self.add('Isetpt',Array(0.2*np.ones((12,n)), size=(12,n), dtype=float,
iotype='out'))
def __init__(self, n, m):
super(BsplineParameters, self).__init__()
self.n = n
self.m = m
self.add('t1', Float(0., units='s', desc='Start time', iotype='in'))
self.add('t2', Float(43200., units='s', desc='End time', iotype='in'))
self.B = MBI(np.zeros(n), [np.linspace(self.t1, self.t2, n)], [self.m],
[4]).getJacobian(0, 0)
self.Bdot = MBI(np.zeros(n), [np.linspace(self.t1, self.t2, n)],
[self.m], [4]).getJacobian(1, 0)
self.BT = self.B.transpose()
self.BdotT = self.Bdot.transpose()
self.add(
'CP_P_comm',
Array(np.zeros((self.m, )),
size=(self.m, ),
dtype=float,
units='W',
desc='Communication power at the control points',
iotype='in'))
self.add(
'CP_gamma',
Array(np.zeros((self.m, )),
size=(self.m, ),
dtype=float,
units='rad',
desc='Satellite roll angle at control points',
iotype='in'))
self.add(
'CP_Isetpt',
Array(np.zeros((12, self.m)),
size=(12, self.m),
dtype=float,
units='A',
desc='Currents of the solar panels at the control points',
iotype='in'))
self.add(
'P_comm',
Array(np.ones((n, )),
size=(n, ),
dtype=float,
units='W',
desc='Communication power over time',
iotype='out'))
self.add(
'Gamma',
Array(0.1 * np.ones((n, )),
size=(n, ),
dtype=float,
units='rad',
desc='Satellite roll angle over time',
iotype='out'))
self.add(
'Isetpt',
Array(0.2 * np.ones((12, n)),
size=(12, n),
dtype=float,
units="A",
desc="Currents of the solar panels over time",
iotype='out'))
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
self.add('t1', Float(0., units='s', desc='Start time', iotype='in'))
self.add('t2', Float(43200., units='s', desc='End time', iotype='in'))
self.B = MBI(np.zeros(n), [np.linspace(self.t1, self.t2, n)], [self.m],
[4]).getJacobian(0, 0)
self.Bdot = MBI(np.zeros(n), [np.linspace(self.t1, self.t2, n)],
[self.m], [4]).getJacobian(1, 0)
self.BT = self.B.transpose()
self.BdotT = self.Bdot.transpose()
self.add(
'CP_P_comm',
Array(np.zeros((self.m, )),
size=(self.m, ),
dtype=float,
units='W',
desc='Communication power at the control points',
iotype='in'))
self.add(
'CP_gamma',
Array(np.zeros((self.m, )),
size=(self.m, ),
dtype=float,
units='rad',
desc='Satellite roll angle at control points',
iotype='in'))
self.add(
'CP_Isetpt',
Array(np.zeros((12, self.m)),
size=(12, self.m),
dtype=float,
units='A',
desc='Currents of the solar panels at the control points',
iotype='in'))
self.add(
'P_comm',
Array(np.ones((n, )),
size=(n, ),
dtype=float,
units='W',
desc='Communication power over time',
iotype='out'))
self.add(
'Gamma',
Array(0.1 * np.ones((n, )),
size=(n, ),
dtype=float,
units='rad',
desc='Satellite roll angle over time',
iotype='out'))
self.add(
'Isetpt',
Array(0.2 * np.ones((12, n)),
size=(12, n),
dtype=float,
units="A",
desc="Currents of the solar panels over time",
iotype='out'))
def list_deriv_vars(self):
input_keys = ('CP_P_comm', 'CP_gamma', 'CP_Isetpt')
output_keys = ('P_comm', 'Gamma', 'Isetpt')
return input_keys, output_keys
def provideJ(self):
""" Calculate and save derivatives (i.e., Jacobian). """
# Derivatives are simple
return
def execute(self):
""" Calculate output. """
self.P_comm = self.B.dot(self.CP_P_comm)
self.Gamma = self.B.dot(self.CP_gamma)
for k in range(12):
self.Isetpt[k, :] = self.B.dot(self.CP_Isetpt[k, :])
def apply_deriv(self, arg, result):
""" Matrix-vector product with the Jacobian """
if 'CP_P_comm' in arg:
result['P_comm'] += self.B.dot(arg['CP_P_comm'])
if 'CP_gamma' in arg:
result['Gamma'] += self.B.dot(arg['CP_gamma'])
if 'CP_Isetpt' in arg:
for k in range(12):
result['Isetpt'][k, :] += self.B.dot(arg['CP_Isetpt'][k, :])
def apply_derivT(self, arg, result):
""" Matrix-vector product with the transpose of the Jacobian """
if 'P_comm' in arg and 'CP_P_comm' in result:
result['CP_P_comm'] += self.BT.dot(arg['P_comm'])
if 'Gamma' in arg and 'CP_gamma' in result:
result['CP_gamma'] += self.BT.dot(arg['Gamma'])
if 'Isetpt' in arg and 'CP_Isetpt' in result:
for k in range(12):
result['CP_Isetpt'][k, :] += self.BT.dot(arg['Isetpt'][k, :])
def __init__(self, n, m):
super(BsplineParameters, self).__init__()
self.n = n
self.m = m
self.add('t1', Float(0.,
units='s',
desc='Start time',
iotype='in'))
self.add('t2', Float(43200.,
units='s',
desc='End time',
iotype='in'))
self.B = MBI(np.zeros(n),
[np.linspace(self.t1,self.t2,n)], [self.m], [4]).getJacobian(0,0)
self.Bdot = MBI(np.zeros(n),
[np.linspace(self.t1,self.t2,n)], [self.m], [4]).getJacobian(1,0)
self.BT = self.B.transpose()
self.BdotT = self.Bdot.transpose()
self.add('CP_P_comm', Array(np.zeros((self.m,)),
size=(self.m,),
dtype=float,
units='W',
desc='Communication power at the control points',
iotype='in'))
self.add('CP_gamma', Array(np.zeros((self.m,)),
size=(self.m,),
dtype=float,
units='rad',
desc='Satellite roll angle at control points',
iotype='in'))
self.add('CP_Isetpt', Array(np.zeros((12,self.m)),
size=(12,self.m),
dtype=float,
units='A',
desc='Currents of the solar panels at the control points',
iotype='in'))
self.add('P_comm', Array(np.ones((n,)),
size=(n,), dtype=float,
units='W',
desc='Communication power over time',
iotype='out'))
self.add('Gamma', Array(0.1*np.ones((n,)),
size=(n,),
dtype=float,
units='rad',
desc='Satellite roll angle over time',
iotype='out'))
self.add('Isetpt',Array(0.2*np.ones((12,n)),
size=(12,n),
dtype=float,
units="A",
desc="Currents of the solar panels over time",
iotype='out'))
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
self.add('t1', Float(0.,
units='s',
desc='Start time',
iotype='in'))
self.add('t2', Float(43200.,
units='s',
desc='End time',
iotype='in'))
self.B = MBI(np.zeros(n),
[np.linspace(self.t1,self.t2,n)], [self.m], [4]).getJacobian(0,0)
self.Bdot = MBI(np.zeros(n),
[np.linspace(self.t1,self.t2,n)], [self.m], [4]).getJacobian(1,0)
self.BT = self.B.transpose()
self.BdotT = self.Bdot.transpose()
self.add('CP_P_comm', Array(np.zeros((self.m,)),
size=(self.m,),
dtype=float,
units='W',
desc='Communication power at the control points',
iotype='in'))
self.add('CP_gamma', Array(np.zeros((self.m,)),
size=(self.m,),
dtype=float,
units='rad',
desc='Satellite roll angle at control points',
iotype='in'))
self.add('CP_Isetpt', Array(np.zeros((12,self.m)),
size=(12,self.m),
dtype=float,
units='A',
desc='Currents of the solar panels at the control points',
iotype='in'))
self.add('P_comm', Array(np.ones((n,)),
size=(n,), dtype=float,
units='W',
desc='Communication power over time',
iotype='out'))
self.add('Gamma', Array(0.1*np.ones((n,)),
size=(n,),
dtype=float,
units='rad',
desc='Satellite roll angle over time',
iotype='out'))
self.add('Isetpt',Array(0.2*np.ones((12,n)),
size=(12,n),
dtype=float,
units="A",
desc="Currents of the solar panels over time",
iotype='out'))
def list_deriv_vars(self):
input_keys = ('CP_P_comm', 'CP_gamma', 'CP_Isetpt')
output_keys = ('P_comm', 'Gamma', 'Isetpt')
return input_keys, output_keys
def provideJ(self):
""" Calculate and save derivatives (i.e., Jacobian). """
# Derivatives are simple
return
def execute(self):
""" Calculate output. """
self.P_comm = self.B.dot(self.CP_P_comm)
self.Gamma = self.B.dot(self.CP_gamma)
for k in range(12):
self.Isetpt[k, :] = self.B.dot(self.CP_Isetpt[k, :])
def apply_deriv(self, arg, result):
""" Matrix-vector product with the Jacobian """
if 'CP_P_comm' in arg:
result['P_comm'] += self.B.dot(arg['CP_P_comm'])
if 'CP_gamma' in arg:
result['Gamma'] += self.B.dot(arg['CP_gamma'])
if 'CP_Isetpt' in arg:
for k in range(12):
result['Isetpt'][k, :] += self.B.dot(arg['CP_Isetpt'][k, :])
def apply_derivT(self, arg, result):
""" Matrix-vector product with the transpose of the Jacobian """
if 'P_comm' in arg and 'CP_P_comm' in result:
result['CP_P_comm'] += self.BT.dot(arg['P_comm'])
if 'Gamma' in arg and 'CP_gamma' in result:
result['CP_gamma'] += self.BT.dot(arg['Gamma'])
if 'Isetpt' in arg and 'CP_Isetpt' in result:
for k in range(12):
result['CP_Isetpt'][k, :] += self.BT.dot(arg['Isetpt'][k, :])
class BsplineParameters(Component):
def __init__(self, n, m):
super(BsplineParameters, self).__init__()
self.n = n
self.m = m
self.add('t1', Float(0., iotype='in'))
self.add('t2', Float(43200., iotype='in'))
self.B = MBI(np.zeros(n),
[np.linspace(self.t1,self.t2,n)], [self.m], [4]).getJacobian(0,0)
self.Bdot = MBI(np.zeros(n),
[np.linspace(self.t1,self.t2,n)], [self.m], [4]).getJacobian(1,0)
self.BT = self.B.transpose()
self.BdotT = self.Bdot.transpose()
self.add('CP_P_comm', Array(np.zeros((self.m,)), size=(self.m,), dtype=float,
iotype='in'))
self.add('CP_gamma', Array(np.zeros((self.m,)), size=(self.m,), dtype=float,
iotype='in'))
self.add('CP_Isetpt', Array(np.zeros((12,self.m)), size=(12,self.m), dtype=float,
iotype='in'))
self.add('P_comm', Array(np.ones((n,)), size=(n,), dtype=float,
iotype='out'))
self.add('Gamma', Array(0.1*np.ones((n,)), size=(n,), dtype=float,
iotype='out'))
self.add('Isetpt',Array(0.2*np.ones((12,n)), size=(12,n), dtype=float,
iotype='out'))
def linearize(self):
""" Calculate and save derivatives. (i.e., Jacobian) """
# Derivatives are simple
return
def execute(self):
""" Calculate output. """
self.P_comm = self.B.dot(self.CP_P_comm)
self.Gamma = self.B.dot(self.CP_gamma)
for k in range(12):
self.Isetpt[k, :] = self.B.dot(self.CP_Isetpt[k, :])
def apply_deriv(self, arg, result):
""" Matrix-vector product with the Jacobian. """
if 'CP_P_comm' in arg:
result['P_comm'] += self.B.dot(arg['CP_P_comm'])
if 'CP_gamma' in arg:
result['Gamma'] += self.B.dot(arg['CP_gamma'])
if 'CP_Isetpt' in arg:
for k in range(12):
result['Isetpt'][k, :] += self.B.dot(arg['CP_Isetpt'][k, :])
def apply_derivT(self, arg, result):
""" Matrix-vector product with the transpose of the Jacobian. """
if 'P_comm' in arg and 'CP_P_comm' in result:
result['CP_P_comm'] += self.BT.dot(arg['P_comm'])
if 'Gamma' in arg and 'CP_gamma' in result:
result['CP_gamma'] += self.BT.dot(arg['Gamma'])
if 'Isetpt' in arg and 'CP_Isetpt' in result:
for k in range(12):
result['CP_Isetpt'][k, :] += self.BT.dot(arg['Isetpt'][k, :])