class SimpleGNNSTest(unittest.TestCase):
"""
Test each method in SimpleINSComputer.
"""
def setUp(self):
"""
Make sure that every test runs on clean trajectory.
"""
self.pf = NavTrajectoryOpt()
self.dt = 1.
self.gps = SimpleGNSS()
self.gps.dt = self.dt
self.time = np.arange(0., 100., self.dt)
def test_gnss(self):
ref_state = np.array([self.pf.state(t)[:6] for t in self.time])
gps_state = np.array([self.gps(self.pf.state(t)[:6]) for t in self.time])
# Uncoment if you want to see plots
# lgnd = ['phi', 'lam', 'h', 'vn', 've', 'vd']
# plot_compare_states(self.time, gps_state, ref_state, lgnd)
# plot_compare_states_diff(self.time, gps_state, ref_state, lgnd)
gps_std = np.std(gps_state-ref_state, axis=0)
ref_gps_std = self.gps._noise_std
np.testing.assert_allclose(gps_std, ref_gps_std, rtol=1)
def setUp(self):
"""
Make sure that every test runs on clean trajectory.
"""
self.pf = NavTrajectoryOpt()
self.dt = 1.
self.gps = SimpleGNSS()
self.gps.dt = self.dt
self.time = np.arange(0., 100., self.dt)
def setUp(self):
"""
Make sure that every test runs on clean trajectory.
"""
self.pf = NavTrajectoryOpt()
# self.pf = NavTrajectory(pd)
self.dt = 0.005
self.ins = SimpleINSComputer()
self.ins.dt = self.dt
init_state = self.pf.init_state()
self.ins.set_state(init_state)
self.time = np.arange(0., 1000., self.dt)
class ComprehensiveTest(unittest.TestCase):
"""
Test each method in SimpleINSComputer.
"""
def setUp(self):
"""
Make sure that every test runs on clean trajectory.
"""
self.pf = NavTrajectoryOpt()
# self.pf = NavTrajectory(pd)
self.dt = 0.005
self.ins = SimpleINSComputer()
self.ins.dt = self.dt
init_state = self.pf.init_state()
self.ins.set_state(init_state)
self.time = np.arange(0., 1000., self.dt)
import numpy as np from openins.trajectory.navtrajectory_opt import NavTrajectoryOpt from openins.visualisation.plotter import plot_state_vector # init profile generator pf = NavTrajectoryOpt() # set sample time dt = 0.1 # define time vector time = np.arange(0., 1000., dt) # generate state vector for each time ref_state = np.array([pf.state_extended(t) for t in time]) # plot each var versus time lgnd = ['phi', 'lam', 'h', 'vn', 've', 'vd', 'an', 'ae', 'ad', 'q0', 'q1', 'q2', 'q3', 'wx', 'wy', 'wz', 'ax', 'ay', 'az'] plot_state_vector(time, ref_state, lgnd)
class ComprehensiveTest(unittest.TestCase):
"""
Test each method in SimpleINSComputer.
"""
def setUp(self):
"""
Make sure that every test runs on clean trajectory.
"""
self.pf = NavTrajectoryOpt()
# self.pf = NavTrajectory(pd)
self.dt = 0.01
self.ins = SimpleINSComputer()
self.ins.dt = self.dt
init_state = self.pf.init_state()
self.ins.set_state(init_state)
self.time = np.arange(self.dt, 100., self.dt)
def test_position(self):
"""
Test position integration pof inscomputer.
We just integrate position, velocity in INS state replaced by ideal
one. Other variables in state vector is not changed coz they do not
influence on position integration.
"""
self.skipTest('temp')
test_pos = np.empty
for t in self.time:
rez = self.ins._integrate_position()
self.ins._state[0:3] = rez
self.ins._state[3:6] = self.pf.state(t)[3:6]
try:
test_pos = np.vstack((test_pos, rez))
except ValueError:
test_pos = rez
# get ideal values for: latitude, longitude and height
tru_pos = np.array([self.pf.position(t) for t in self.time])
lgnd = ['phi', 'lam', 'h']
plot_compare_states(self.time, test_pos, tru_pos, lgnd)
plot_compare_states_diff(self.time, 6378137.0*test_pos, 6378137.0*tru_pos, lgnd)
np.testing.assert_allclose(test_pos, tru_pos, rtol=1e-4, atol=1e-2 )
def test_velocity_acc(self):
"""
Test velocity integration of inscomputer.
Here we integrate only velocity and check acceleration so, position
and orientation replaced by ideal values.
"""
self.skipTest('temp')
vel = np.empty
acc = np.empty
for t in self.time:
if t != self.time[0]:
# replace INS variables with ideal one
q = self.pf.orientation_q(t)
self.ins._state[9:] = q
rez, aned = self.ins._integrate_velocity(self.pf.accs(t))
self.ins._state[3:6] = rez
self.ins._state[6:9] = aned
self.ins._state[0:3] = self.pf.position(t)
# save result in next vectors
vel = np.vstack((vel, rez))
acc = np.vstack((acc, aned))
else:
vel = self.ins._state[3:6]
acc = self.ins._state[6:9]
tru_v = np.array([self.pf.velocity_ned(t) for t in self.time])
tru_acc = np.array([self.pf.acceleration_ned(t) for t in self.time])
lgnd = ['vn', 've', 'vd']
plot_compare_states(self.time, vel, tru_v, lgnd)
plot_compare_states_diff(self.time, vel, tru_v, lgnd)
lgnd = ['an', 'ae', 'ad']
plot_compare_states(self.time, acc, tru_acc, lgnd)
plot_compare_states_diff(self.time, acc, tru_acc, lgnd)
np.testing.assert_allclose(vel, tru_v, rtol=0.001, atol=0.01 )
np.testing.assert_allclose(acc, tru_acc, rtol=1e-4, atol=0.01)
def test_attitude(self):
"""
Test position integration of inscomputer.
"""
# self.skipTest('temp')
q = self.ins._state[9:]
test_quat = self.ins._state[9:]
for t in self.time:
if t != 0.:
self.ins._state[0:3] = self.pf.position(t)
self.ins._state[3:6] = self.pf.velocity_ned(t)
# q = self.ins._integrate_orientation(self.pf.gyros_inc_angle(t, self.dt))
q = self.ins._integrate_orientation(self.pf.gyros(t))
self.ins._state[9:] = q
test_quat = np.vstack((test_quat, q))
else:
q = self.ins._state[9:]
# pitch = np.rad2deg(np.array([self.pf.theta(t) for t in self.time]))
# roll = np.rad2deg(np.array([self.pf.gamma(t) for t in self.time]))
# yaw = np.rad2deg(np.array([self.pf.psi(t) for t in self.time]))
ref_quat = np.array([self.pf.orientation_q(t) for t in self.time])
lgnd = ['q0', 'q1', 'q2', 'q3']
plot_compare_states(self.time, test_quat[:-1], ref_quat, lgnd)
plot_compare_states_diff(self.time, test_quat[:-1], ref_quat, lgnd)
lgnd = ['roll', 'pitch', 'yaw']
plot_compare_quat2euler(self.time, test_quat[:-1], ref_quat, lgnd)
def test_complex_system(self):
"""
Test full functional system.
"""
self.skipTest('temp')
test_state = np.array([self.ins(self.pf.gyros(t), self.pf.accs(t))
for t in self.time])
ref_state = np.array([self.pf.state(t) for t in self.time])
lgnd = ['phi', 'lam', 'h', 'vn', 've', 'vd', 'an', 'ae', 'ad',
'q0', 'q1', 'q2', 'q3']
plot_compare_states(self.time, test_state, ref_state, lgnd)
plot_compare_states_diff(self.time, test_state, ref_state, lgnd)
def test_velocity_pos(self):
"""
Test velocity integration of inscomputer.
Here we integrate only velocity and check acceleration so, position
and orientation replaced by ideal values.
"""
self.skipTest('temp')
vel = np.empty
acc = np.empty
pos = np.empty
quat = np.empty
quati = np.empty
test_state = np.empty
for t in self.time:
# print 't = ', t
if t != self.time[0]:
# replace INS variables with ideal one
# q = dcm2quat(self.pf.dcmbn(t))
# self.ns._state[9:] = q
q = self.ins._integrate_orientation(self.pf.gyros(t))
qi = self.pf.orientation_q(t)
self.ins._state[9:] = qi
rez, aned = self.ins._integrate_velocity(self.pf.accs(t))
self.ins._state[3:6] = rez
self.ins._state[6:9] = aned
self.ins._state[0:3] = self.ins._integrate_position()
# self.ns._state[9:] = q
# save result in next vectors
vel = np.vstack((vel, self.ins._state[3:6]))
acc = np.vstack((acc, aned))
pos = np.vstack((pos, self.ins._state[0:3]))
quat = np.vstack((quat, q))
quati = np.vstack((quati, qi))
test_state = np.vstack((test_state, self.ins._state[:]))
else:
vel = self.ins._state[3:6]
acc = self.ins._state[6:9]
pos = self.ins._state[0:3]
quat = self.ins._state[9:]
quati = self.ins._state[9:]
test_state = self.ins._state[:]
lgnd = ['phi', 'lam', 'h', 'vn', 've', 'vd', 'an', 'ae', 'ad',
'q0', 'q1', 'q2', 'q3']
ref_state = np.array([self.pf.state(t) for t in self.time])
print np.shape(ref_state[1:,:])
print np.shape(test_state[1:,:])
plot_compare_states(self.time[1:], test_state[1:,:], ref_state[1:,:], lgnd)
plot_compare_states_diff(self.time[1:], test_state[1:,:], ref_state[1:,:], lgnd)
import numpy as np
from openins.ns.inscomputer import SimpleINSComputer
from openins.visualisation.plotter import plot_compare_states
from openins.visualisation.plotter import plot_compare_states_diff
from openins.trajectory.navtrajectory_opt import NavTrajectoryOpt
# init trajectory of body
pf = NavTrajectoryOpt()
# set sample time and time vector
dt = 0.005
time = np.arange(0., 100., dt)
# init INS Computer
ins = SimpleINSComputer()
ins.dt = dt
# set initial state of INS
init_state = pf.init_state()
ins.set_state(init_state)
# save ins state
ins_state = np.array([ins(pf.gyros(t), pf.accs(t))
for t in time])
# save trajectory
ref_state = np.array([pf.state(t) for t in time])
# plot each variable versus time
lgnd = ['phi', 'lam', 'h', 'vn', 've', 'vd', 'an', 'ae', 'ad',
'q0', 'q1', 'q2', 'q3']
