#
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r"""
Overview
--------
This scenario only performs the orbit determination component of the FSW stack.
It uses the Limb based method for image processing.
More details can be found in Chapter 4 of `Thibaud Teil's PhD thesis <http://hanspeterschaub.info/Papers/grads/ThibaudTeil.pdf>`_.
The script can be run at full length by calling::
python3 scenario_OpNavODLimb.py
"""
# Get current file path
import inspect
import os
import sys
import time
from Basilisk.utilities import RigidBodyKinematics as rbk
# Import utilities
from Basilisk.utilities import orbitalMotion, macros, unitTestSupport
filename = inspect.getframeinfo(inspect.currentframe()).filename
path = os.path.dirname(os.path.abspath(filename))
# Import master classes: simulation base class and scenario base class
sys.path.append(path + '/..')
from BSK_OpNav import BSKSim, BSKScenario
import BSK_OpNavDynamics, BSK_OpNavFsw
import numpy as np
# Import plotting file for your scenario
sys.path.append(path + '/../plottingOpNav')
import OpNav_Plotting as BSK_plt
# Create your own scenario child class
[docs]class scenario_OpNav(BSKScenario):
"""Main Simulation Class"""
def __init__(self, masterSim, showPlots=False):
super(scenario_OpNav, self).__init__(masterSim, showPlots)
self.name = 'scenario_opnav'
self.masterSim = masterSim
# declare additional class variables
self.opNavRec = None
self.limbRec = None
self.scRec = None
self.filtRec = None
[docs] def log_outputs(self):
# Dynamics process outputs: log messages below if desired.
FswModel = self.masterSim.get_FswModel()
DynModel = self.masterSim.get_DynModel()
# FSW process outputs
samplingTimeFsw = self.masterSim.get_FswModel().processTasksTimeStep
samplingTimeDyn = self.masterSim.get_DynModel().processTasksTimeStep
self.filtRec = FswModel.relativeOD.filtDataOutMsg.recorder(samplingTimeFsw)
self.opNavRec = FswModel.opnavMsg.recorder(samplingTimeFsw)
self.limbRec = FswModel.limbFinding.opnavLimbOutMsg.recorder(samplingTimeFsw)
self.scRec = DynModel.scObject.scStateOutMsg.recorder(samplingTimeDyn)
self.masterSim.AddModelToTask(DynModel.taskName, self.filtRec)
self.masterSim.AddModelToTask(DynModel.taskName, self.opNavRec)
self.masterSim.AddModelToTask(DynModel.taskName, self.limbRec)
self.masterSim.AddModelToTask(DynModel.taskName, self.scRec)
return
[docs] def pull_outputs(self, showPlots):
# Dynamics process outputs: pull log messages below if any
## Spacecraft true states
position_N = unitTestSupport.addTimeColumn(self.scRec.times(), self.scRec.r_BN_N)
velocity_N = unitTestSupport.addTimeColumn(self.scRec.times(), self.scRec.v_BN_N)
## Attitude
sigma_BN = unitTestSupport.addTimeColumn(self.scRec.times(), self.scRec.sigma_BN)
## Image processing
limb = unitTestSupport.addTimeColumn(self.limbRec.times(), self.limbRec.limbPoints)
numLimbPoints = unitTestSupport.addTimeColumn(self.limbRec.times(), self.limbRec.numLimbPoints)
validLimb = unitTestSupport.addTimeColumn(self.limbRec.times(), self.limbRec.valid)
## OpNav Out
measPos = unitTestSupport.addTimeColumn(self.opNavRec.times(), self.opNavRec.r_BN_N)
r_C = unitTestSupport.addTimeColumn(self.opNavRec.times(), self.opNavRec.r_BN_C)
measCovar = unitTestSupport.addTimeColumn(self.opNavRec.times(), self.opNavRec.covar_N)
covar_C = unitTestSupport.addTimeColumn(self.opNavRec.times(), self.opNavRec.covar_C)
NUM_STATES = 6
## Navigation results
navState = unitTestSupport.addTimeColumn(self.filtRec.times(), self.filtRec.state)
navCovar = unitTestSupport.addTimeColumn(self.filtRec.times(), self.filtRec.covar)
navPostFits = unitTestSupport.addTimeColumn(self.filtRec.times(), self.filtRec.postFitRes)
sigma_CB = self.masterSim.get_DynModel().cameraMRP_CB
sizeMM = self.masterSim.get_DynModel().cameraSize
sizeOfCam = self.masterSim.get_DynModel().cameraRez
focal = self.masterSim.get_DynModel().cameraFocal #in m
pixelSize = []
pixelSize.append(sizeMM[0] / sizeOfCam[0])
pixelSize.append(sizeMM[1] / sizeOfCam[1])
dcm_CB = rbk.MRP2C(sigma_CB)
# Plot results
BSK_plt.clear_all_plots()
stateError = np.zeros([len(position_N[:,0]), NUM_STATES+1])
navCovarLong = np.full([len(position_N[:,0]), 1+NUM_STATES*NUM_STATES], np.nan)
navCovarLong[:,0] = np.copy(position_N[:,0])
stateError[:, 0:4] = np.copy(position_N)
stateError[:,4:7] = np.copy(velocity_N[:,1:])
measError = np.full([len(measPos[:,0]), 4], np.nan)
measError[:,0] = measPos[:,0]
measError_C = np.full([len(measPos[:,0]), 5], np.nan)
measError_C[:,0] = measPos[:,0]
trueRhat_C = np.full([len(numLimbPoints[:,0]), 4], np.nan)
trueR_C = np.full([len(numLimbPoints[:,0]), 4], np.nan)
trueCircles = np.full([len(numLimbPoints[:,0]), 4], np.nan)
trueCircles[:,0] = numLimbPoints[:,0]
trueRhat_C[:,0] = numLimbPoints[:,0]
trueR_C[:,0] = numLimbPoints[:,0]
switchIdx = 0
Rmars = 3396.19*1E3
for j in range(len(stateError[:, 0])):
if stateError[j, 0] in navState[:, 0]:
stateError[j, 1:4] -= navState[j - switchIdx, 1:4]
stateError[j, 4:] -= navState[j - switchIdx, 4:]
else:
stateError[j, 1:] = np.full(NUM_STATES, np.nan)
switchIdx += 1
for i in range(len(numLimbPoints[:,0])):
if numLimbPoints[i,1] > 1E-8:
measError[i, 1:4] = position_N[i +switchIdx, 1:4] - measPos[i, 1:4]
measError_C[i, 4] = np.linalg.norm(position_N[i +switchIdx, 1:4]) - np.linalg.norm(r_C[i, 1:4])
measError_C[i, 1:4] = trueRhat_C[i,1:] - r_C[i, 1:4]/np.linalg.norm(r_C[i, 1:4])
trueR_C[i,1:] = np.dot(np.dot(dcm_CB, rbk.MRP2C(sigma_BN[i +switchIdx, 1:4])) , position_N[i +switchIdx, 1:4])
trueRhat_C[i,1:] = np.dot(np.dot(dcm_CB, rbk.MRP2C(sigma_BN[i +switchIdx, 1:4])) ,position_N[i +switchIdx, 1:4])/np.linalg.norm(position_N[i +switchIdx, 1:4])
trueCircles[i,3] = focal*np.tan(np.arcsin(Rmars/np.linalg.norm(position_N[i,1:4])))/pixelSize[0]
trueRhat_C[i,1:] *= focal/trueRhat_C[i,3]
trueCircles[i, 1] = trueRhat_C[i, 1] / pixelSize[0] + sizeOfCam[0]/2 - 0.5
trueCircles[i, 2] = trueRhat_C[i, 2] / pixelSize[1] + sizeOfCam[1]/2 - 0.5
else:
measCovar[i,1:] = np.full(3*3, np.nan)
covar_C[i, 1:] = np.full(3 * 3, np.nan)
navCovarLong[switchIdx:,:] = np.copy(navCovar)
timeData = position_N[:, 0] * macros.NANO2MIN
BSK_plt.plot_TwoOrbits(position_N, measPos)
BSK_plt.diff_vectors(trueR_C, r_C, validLimb, "Limb")
BSK_plt.plot_limb(limb, numLimbPoints, validLimb, sizeOfCam)
# BSK_plt.AnimatedScatter(sizeOfCam, circleCenters, circleRadii, validCircle)
# BSK_plt.plot_cirlces(timeData[switchIdx:], circleCenters, circleRadii, validCircle, sizeOfCam)
BSK_plt.plotStateCovarPlot(stateError, navCovarLong)
# BSK_plt.imgProcVsExp(trueCircles, circleCenters, circleRadii, np.array(sizeOfCam))
BSK_plt.plotPostFitResiduals(navPostFits, measCovar)
figureList = {}
if showPlots:
BSK_plt.show_all_plots()
else:
fileName = os.path.basename(os.path.splitext(__file__)[0])
figureNames = ["attitudeErrorNorm", "rwMotorTorque", "rateError", "rwSpeed"]
figureList = BSK_plt.save_all_plots(fileName, figureNames)
return figureList
def run(showPlots, simTime = None):
# Instantiate base simulation
TheBSKSim = BSKSim(fswRate=0.5, dynRate=0.5)
TheBSKSim.set_DynModel(BSK_OpNavDynamics)
TheBSKSim.set_FswModel(BSK_OpNavFsw)
# Configure a scenario in the base simulation
TheScenario = scenario_OpNav(TheBSKSim, showPlots)
TheScenario.log_outputs()
TheScenario.configure_initial_conditions()
TheBSKSim.get_DynModel().cameraMod.saveImages = 0
# opNavMode 1 is used for viewing the spacecraft as it navigates, opNavMode 2 is for headless camera simulation
TheBSKSim.get_DynModel().vizInterface.opNavMode = 2
# The following code spawns the Vizard application from python
mode = ["None", "-directComm", "-noDisplay"]
TheScenario.run_vizard(mode[TheBSKSim.get_DynModel().vizInterface.opNavMode])
# Configure FSW mode
TheScenario.masterSim.modeRequest = 'prepOpNav'
# Initialize simulation
TheBSKSim.InitializeSimulation()
# Configure run time and execute simulation
simulationTime = macros.min2nano(3.)
TheBSKSim.ConfigureStopTime(simulationTime)
print('Starting Execution')
t1 = time.time()
TheBSKSim.ExecuteSimulation()
TheScenario.masterSim.modeRequest = 'OpNavODLimb'
if simTime != None:
simulationTime = macros.min2nano(simTime)
else:
simulationTime = macros.min2nano(600)
TheBSKSim.ConfigureStopTime(simulationTime)
TheBSKSim.ExecuteSimulation()
t2 = time.time()
print('Finished Execution in ', t2-t1, ' seconds. Post-processing results')
# Terminate vizard and show plots
figureList = TheScenario.end_scenario()
return figureList
if __name__ == "__main__":
run(True)