#
# ISC License
#
# Copyright (c) 2016, Autonomous Vehicle Systems Lab, University of Colorado at Boulder
#
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
# WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
# MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
# ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
# WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
# ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
# OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
#
r"""
Overview
--------
This script is called by OpNavScenarios/CNN_ImageGen/OpNavMonteCarlo.py in order to generate images.
"""
# Get current file path
import inspect
import os
import subprocess
import sys
from Basilisk.utilities import RigidBodyKinematics as rbk
# Import utilities
from Basilisk.utilities import orbitalMotion, macros, unitTestSupport
from Basilisk.utilities.supportDataTools.dataFetcher import get_path, DataFile
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(BSKSim):
"""Main Simulation Class"""
def __init__(self):
super(scenario_OpNav, self).__init__(BSKSim)
self.fswRate = 0.5
self.dynRate = 0.5
self.set_DynModel(BSK_OpNavDynamics)
self.set_FswModel(BSK_OpNavFsw)
self.name = "scenario_opnav"
self.filterUse = "bias" # "relOD"
self.configure_initial_conditions()
# set recorded message information
self.msgRecList = {}
self.retainedMessageName1 = "scMsg"
self.retainedMessageName2 = "circlesMsg"
self.var1 = "r_BN_N"
self.var2 = "sigma_BN"
self.var3 = "valid"
def configure_initial_conditions(self):
# Configure Dynamics initial conditions
oe = orbitalMotion.ClassicElements()
oe.a = 18000 * 1e3 # meters
oe.e = 0.0
oe.i = 20 * macros.D2R
oe.Omega = 25.0 * macros.D2R
oe.omega = 190.0 * macros.D2R
oe.f = 100.0 * macros.D2R # 90 good
mu = self.get_DynModel().gravFactory.gravBodies["mars barycenter"].mu
rN, vN = orbitalMotion.elem2rv(mu, oe)
orbitalMotion.rv2elem(mu, rN, vN)
bias = [0, 0, -2]
MRP = [0, 0, 0]
if self.filterUse == "relOD":
self.get_FswModel().relativeOD.stateInit = rN.tolist() + vN.tolist()
if self.filterUse == "bias":
self.get_FswModel().pixelLineFilter.stateInit = (
rN.tolist() + vN.tolist() + bias
)
# self.get_DynModel().scObject.hub.r_CN_NInit = rN # m - r_CN_N
# self.get_DynModel().scObject.hub.v_CN_NInit = vN # m/s - v_CN_N
self.get_DynModel().scObject.hub.sigma_BNInit = [
[MRP[0]],
[MRP[1]],
[MRP[2]],
] # sigma_BN_B
self.get_DynModel().scObject.hub.omega_BN_BInit = [
[0.0],
[0.0],
[0.0],
] # rad/s - omega_BN_B
self.get_DynModel().cameraMod.fieldOfView = np.deg2rad(55)
def log_outputs(self):
# Dynamics process outputs: log messages below if desired.
FswModel = self.get_FswModel()
DynModel = self.get_DynModel()
# FSW process outputs
samplingTime = self.get_FswModel().processTasksTimeStep
self.msgRecList[self.retainedMessageName1] = (
DynModel.scObject.scStateOutMsg.recorder(samplingTime)
)
self.AddModelToTask(
DynModel.taskName, self.msgRecList[self.retainedMessageName1]
)
self.msgRecList[self.retainedMessageName2] = FswModel.opnavCirclesMsg.recorder(
samplingTime
)
self.AddModelToTask(
DynModel.taskName, self.msgRecList[self.retainedMessageName2]
)
return
def pull_outputs(self, showPlots):
## Spacecraft true states
scStates = self.msgRecList[self.retainedMessageName1]
position_N = unitTestSupport.addTimeColumn(scStates.times(), scStates.r_BN_N)
sigma_BN = unitTestSupport.addTimeColumn(scStates.times(), scStates.sigma_BN)
## Image processing
circleStates = self.scRecmsgRecList[self.retainedMessageName2]
validCircle = unitTestSupport.addTimeColumn(
circleStates.times(), circleStates.valid
)
sigma_CB = self.get_DynModel().cameraMRP_CB
sizeMM = self.get_DynModel().cameraSize
sizeOfCam = self.get_DynModel().cameraRez
focal = self.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()
trueRhat_C = np.full([len(validCircle[:, 0]), 4], np.nan)
trueCircles = np.full([len(validCircle[:, 0]), 4], np.nan)
trueCircles[:, 0] = validCircle[:, 0]
trueRhat_C[:, 0] = validCircle[:, 0]
ModeIdx = 0
Rmars = 3396.19 * 1e3
for j in range(len(position_N[:, 0])):
if position_N[j, 0] in validCircle[:, 0]:
ModeIdx = j
break
for i in range(len(validCircle[:, 0])):
if validCircle[i, 1] > 1e-5:
trueRhat_C[i, 1:] = np.dot(
np.dot(dcm_CB, rbk.MRP2C(sigma_BN[ModeIdx + i, 1:4])),
position_N[ModeIdx + i, 1:4],
) / np.linalg.norm(position_N[ModeIdx + i, 1:4])
trueCircles[i, 3] = (
focal
* np.tan(
np.arcsin(Rmars / np.linalg.norm(position_N[ModeIdx + 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
)
return
def run(TheScenario, runLog):
TheBskScenario = BSKScenario
TheScenario.log_outputs()
TheScenario.configure_initial_conditions()
if not os.path.exists(runLog):
os.makedirs(runLog)
TheScenario.get_DynModel().cameraMod.fieldOfView = np.deg2rad(55) # in degrees
TheScenario.get_DynModel().cameraMod.cameraIsOn = 1
TheScenario.get_DynModel().cameraMod.saveImages = 1
TheScenario.get_DynModel().cameraMod.saveDir = (
runLog.split("/")[-2] + "/" + runLog.split("/")[-1] + "/"
)
TheScenario.get_DynModel().vizInterface.noDisplay = True
# Modes: "None", "-directComm", "-noDisplay"
# The following code spawns the Vizard application from python as a function of the mode selected above, and the platform.
TheScenario.vizard = subprocess.Popen(
[TheScenario.vizPath, "--args", "-noDisplay", "tcp://localhost:5556"],
stdout=subprocess.DEVNULL,
)
print("Vizard spawned with PID = " + str(TheScenario.vizard.pid))
# Configure FSW mode
TheScenario.modeRequest = "imageGen"
# Initialize simulation
TheScenario.InitializeSimulation()
# Configure run time and execute simulation
simulationTime = macros.min2nano(100.0)
TheScenario.ConfigureStopTime(simulationTime)
print("Starting Execution")
TheScenario.ExecuteSimulation()
TheScenario.vizard.kill()
spice = TheScenario.get_DynModel().spiceObject
de430_path = get_path(DataFile.EphemerisData.de430)
naif0012_path = get_path(DataFile.EphemerisData.naif0012)
de403masses_path = get_path(DataFile.EphemerisData.de_403_masses)
pck00010_path = get_path(DataFile.EphemerisData.pck00010)
spice.unloadSpiceKernel(str(de430_path))
spice.unloadSpiceKernel(str(naif0012_path))
spice.unloadSpiceKernel(str(de403masses_path))
spice.unloadSpiceKernel(str(pck00010_path))
return
if __name__ == "__main__":
# Instantiate base simulation
# Configure a scenario in the base simulation
TheScenario = scenario_OpNav()
run(TheScenario, os.path.abspath(os.path.dirname(__file__)) + "/cnn_MC_data")