def attFilter_dynScenario(TheDynSim):
"""
Executes a default scenario for stand-alone dynamic simulations
:params: TheDynSim: instantiation of class DINO_DynSim
:return: None
"""
# Log data for post-processing and plotting
# Set length of simulation in nanoseconds from the simulation start.
simulationTime = mc.sec2nano(100)
# Set the number of data points to be logged, and therefore the sampling frequency
numDataPoints = 10000
samplingTime = simulationTime / (numDataPoints - 1)
log_DynOutputs(TheDynSim, samplingTime)
log_DynCelestialOutputs(TheDynSim, samplingTime)
log_aekfOutputs(TheDynSim, samplingTime)
# Initialize Simulation
TheDynSim.InitializeSimulationAndDiscover()
# Set up the orbit using classical orbit elements
# oe = define_default_orbit()
mu = TheDynSim.DynClass.mu
rN, vN = define_dino_postTMI()
om.rv2elem(mu, rN, vN)
# Initialize Spacecraft States within the state manager (after initialization)
posRef = TheDynSim.DynClass.scObject.dynManager.getStateObject(
"hubPosition")
velRef = TheDynSim.DynClass.scObject.dynManager.getStateObject(
"hubVelocity")
sigmaRef = TheDynSim.DynClass.scObject.dynManager.getStateObject(
"hubSigma")
omegaRef = TheDynSim.DynClass.scObject.dynManager.getStateObject(
"hubOmega")
# Set the spacecraft initial position, velocity, attitude parameters
posRef.setState(sp.np2EigenVectorXd(rN)) # r_BN_N [m]
velRef.setState(sp.np2EigenVectorXd(vN)) # r_BN_N [m]
sigmaRef.setState([[0.1], [0.2], [-0.3]]) # sigma_BN_B
omegaRef.setState([[0.001], [-0.01], [0.03]]) # omega_BN_B [rad/s]
# Configure a simulation stop time time and execute the simulation run
TheDynSim.ConfigureStopTime(simulationTime)
TheDynSim.ExecuteSimulation()
# Pull data for post-processing and plotting
pull_DynOutputs(TheDynSim)
pull_senseOutputs(TheDynSim)
pull_aekfOutputs(TheDynSim)
# pull_DynCelestialOutputs(TheDynSim)
plt.show()
def attFilter_dynScenario(TheDynSim):
"""
Executes a default scenario for stand-alone dynamic simulations
:params: TheDynSim: instantiation of class DINO_DynSim
:return: None
"""
# Log data for post-processing and plotting
# Set length of simulation in nanoseconds from the simulation start.
simulationTime = mc.sec2nano(100)
# Set the number of data points to be logged, and therefore the sampling frequency
numDataPoints = 10000
samplingTime = simulationTime / (numDataPoints - 1)
log_DynOutputs(TheDynSim, samplingTime)
log_DynCelestialOutputs(TheDynSim, samplingTime)
log_aekfOutputs(TheDynSim, samplingTime)
# Initialize Simulation
TheDynSim.InitializeSimulationAndDiscover()
# Set up the orbit using classical orbit elements
# oe = define_default_orbit()
mu = TheDynSim.DynClass.mu
rN, vN = define_dino_postTMI()
om.rv2elem(mu, rN, vN)
# Initialize Spacecraft States within the state manager (after initialization)
posRef = TheDynSim.DynClass.scObject.dynManager.getStateObject("hubPosition")
velRef = TheDynSim.DynClass.scObject.dynManager.getStateObject("hubVelocity")
sigmaRef = TheDynSim.DynClass.scObject.dynManager.getStateObject("hubSigma")
omegaRef = TheDynSim.DynClass.scObject.dynManager.getStateObject("hubOmega")
# Set the spacecraft initial position, velocity, attitude parameters
posRef.setState(sp.np2EigenVectorXd(rN)) # r_BN_N [m]
velRef.setState(sp.np2EigenVectorXd(vN)) # r_BN_N [m]
sigmaRef.setState([[0.1], [0.2], [-0.3]]) # sigma_BN_B
omegaRef.setState([[0.001], [-0.01], [0.03]]) # omega_BN_B [rad/s]
# Configure a simulation stop time time and execute the simulation run
TheDynSim.ConfigureStopTime(simulationTime)
TheDynSim.ExecuteSimulation()
# Pull data for post-processing and plotting
pull_DynOutputs(TheDynSim)
pull_senseOutputs(TheDynSim)
pull_aekfOutputs(TheDynSim)
# pull_DynCelestialOutputs(TheDynSim)
plt.show()
def basicOrbit_dynScenario(TheDynSim):
"""
Executes a default scenario for stand-alone dynamic simulations
:params: TheDynSim: instantiation of class DINO_DynSim
:return: None
"""
# Initialize Simulation
TheDynSim.InitializeSimulation()
# Set up the orbit using classical orbit elements
oe = define_default_orbit()
mu = TheDynSim.DynClass.earthGravBody.mu
rN, vN = om.elem2rv(mu, oe)
om.rv2elem(mu, rN, vN)
orbPeriod = period = 2 * np.pi * np.sqrt((oe.a**3.) / mu)
# Log data for post-processing and plotting
simulationTime = mc.sec2nano(10000.)
numDataPoints = int(orbPeriod)
samplingTime = simulationTime / (numDataPoints - 1)
log_DynOutputs(TheDynSim, samplingTime)
log_FSWOutputs(TheDynSim, samplingTime)
# Initialize Spacecraft States within the state manager (after initialization)
posRef = TheDynSim.DynClass.scObject.dynManager.getStateObject(
"hubPosition")
velRef = TheDynSim.DynClass.scObject.dynManager.getStateObject(
"hubVelocity")
sigmaRef = TheDynSim.DynClass.scObject.dynManager.getStateObject(
"hubSigma")
omegaRef = TheDynSim.DynClass.scObject.dynManager.getStateObject(
"hubOmega")
posRef.setState(sp.np2EigenVectorXd(rN)) # r_BN_N [m]
velRef.setState(sp.np2EigenVectorXd(vN)) # r_BN_N [m]
sigmaRef.setState([[0.1], [0.2], [-0.3]]) # sigma_BN_B
omegaRef.setState([[0.001], [-0.01], [0.03]]) # omega_BN_B [rad/s]
# Configure a simulation stop time time and execute the simulation run
TheDynSim.ConfigureStopTime(simulationTime)
TheDynSim.ExecuteSimulation()
# Pull data for post-processing and plotting
pull_DynOutputs(TheDynSim)
pull_FSWOutputs(TheDynSim)
plt.show()
def basicOrbit_dynScenario(TheDynSim):
"""
Executes a default scenario for stand-alone dynamic simulations
:params: TheDynSim: instantiation of class DINO_DynSim
:return: None
"""
# Initialize Simulation
TheDynSim.InitializeSimulation()
# Set up the orbit using classical orbit elements
oe = define_default_orbit()
mu = TheDynSim.DynClass.earthGravBody.mu
rN, vN = om.elem2rv(mu, oe)
om.rv2elem(mu, rN, vN)
orbPeriod = period = 2 * np.pi * np.sqrt((oe.a ** 3.) / mu)
# Log data for post-processing and plotting
simulationTime = mc.sec2nano(10000.)
numDataPoints = int(orbPeriod)
samplingTime = simulationTime / (numDataPoints - 1)
log_DynOutputs(TheDynSim, samplingTime)
log_FSWOutputs(TheDynSim, samplingTime)
# Initialize Spacecraft States within the state manager (after initialization)
posRef = TheDynSim.DynClass.scObject.dynManager.getStateObject("hubPosition")
velRef = TheDynSim.DynClass.scObject.dynManager.getStateObject("hubVelocity")
sigmaRef = TheDynSim.DynClass.scObject.dynManager.getStateObject("hubSigma")
omegaRef = TheDynSim.DynClass.scObject.dynManager.getStateObject("hubOmega")
posRef.setState(sp.np2EigenVectorXd(rN)) # r_BN_N [m]
velRef.setState(sp.np2EigenVectorXd(vN)) # r_BN_N [m]
sigmaRef.setState([[0.1], [0.2], [-0.3]]) # sigma_BN_B
omegaRef.setState([[0.001], [-0.01], [0.03]]) # omega_BN_B [rad/s]
# Configure a simulation stop time time and execute the simulation run
TheDynSim.ConfigureStopTime(simulationTime)
TheDynSim.ExecuteSimulation()
# Pull data for post-processing and plotting
pull_DynOutputs(TheDynSim)
pull_FSWOutputs(TheDynSim)
plt.show()
def run(show_plots, orbitCase, planetCase):
'''Call this routine directly to run the tutorial scenario.'''
testFailCount = 0 # zero unit test result counter
testMessages = [] # create empty array to store test log messages
#
# From here on there scenario python code is found. Above this line the code is to setup a
# unitTest environment. The above code is not critical if learning how to code BSK.
#
# Create simulation variable names
simTaskName = "simTask"
simProcessName = "simProcess"
# Create a sim module as an empty container
scSim = SimulationBaseClass.SimBaseClass()
scSim.TotalSim.terminateSimulation()
# create the simulation process
dynProcess = scSim.CreateNewProcess(simProcessName)
# create the dynamics task and specify the integration update time
simulationTimeStep = macros.sec2nano(10.)
dynProcess.addTask(scSim.CreateNewTask(simTaskName, simulationTimeStep))
# Initialize new atmosphere and drag model, add them to task
newAtmo = exponentialAtmosphere.ExponentialAtmosphere()
atmoTaskName = "atmosphere"
newAtmo.ModelTag = "ExpAtmo"
dragEffector = dragDynamicEffector.DragDynamicEffector()
dynProcess.addTask(scSim.CreateNewTask(atmoTaskName, simulationTimeStep))
#dynProcess.addTask(scSim.CreateNewTask(dragEffectorTaskName, simulationTimeStep))
scSim.AddModelToTask(atmoTaskName, newAtmo)
#scSim.AddModelToTask(dragEffectorTaskName, dragEffector)
#
# setup the simulation tasks/objects
#
# initialize spacecraftPlus object and set properties
scObject = spacecraftPlus.SpacecraftPlus()
scObject.ModelTag = "spacecraftBody"
scObject.hub.useTranslation = True
scObject.hub.useRotation = False
#scObject.addDynamicEffector(dragEffector)
# add spacecraftPlus object to the simulation process
scSim.AddModelToTask(simTaskName, scObject)
# clear prior gravitational body and SPICE setup definitions
gravFactory = simIncludeGravBody.gravBodyFactory()
newAtmo.addSpacecraftToModel(scObject.scStateOutMsgName)
#dragEffector.SetDensityMessage(newAtmo.atmoDensOutMsgNames[-1])
if planetCase == "Earth":
planet = gravFactory.createEarth()
newAtmo.setPlanet("earth")
elif planetCase == "Mars":
planet = gravFactory.createMars()
newAtmo.setPlanet("mars")
planet.isCentralBody = True # ensure this is the central gravitational body
mu = planet.mu
# attach gravity model to spaceCraftPlus
scObject.gravField.gravBodies = spacecraftPlus.GravBodyVector(gravFactory.gravBodies.values())
#
# setup orbit and simulation time
oe = orbitalMotion.ClassicElements()
if planetCase == "Earth":
r_eq = 6371*1000.0
refBaseDens = 1.217
refScaleHeight = 8500.0
if orbitCase == "LPO":
orbAltMin = 300.0*1000.0
orbAltMax = orbAltMin
elif orbitCase == "LTO":
orbAltMin = 300*1000.0
orbAltMax = 800.0 * 1000.0
elif planetCase == "Mars":
refBaseDens = 0.020
refScaleHeight = 11100.0
r_eq = 3389.5 * 1000.0
if orbitCase == "LPO":
orbAltMin = 100.0*1000.0
orbAltMax = orbAltMin
elif orbitCase == "LTO":
orbAltMin = 100.0*1000.0
orbAltMax = 500.0 * 1000.0
else:
return 1, "Test failed- did not initialize planets."
rMin = r_eq + orbAltMin
rMax = r_eq + orbAltMax
oe.a = (rMin+rMax)/2.0
oe.e = 1.0 - rMin/oe.a
oe.i = 0.0*macros.D2R
oe.Omega = 0.0*macros.D2R
oe.omega = 0.0*macros.D2R
oe.f = 0.0*macros.D2R
rN, vN = orbitalMotion.elem2rv(mu, oe)
oe = orbitalMotion.rv2elem(mu, rN, vN) # this stores consistent initial orbit elements
# with circular or equatorial orbit, some angles are
# arbitrary
# set the simulation time
n = np.sqrt(mu/oe.a/oe.a/oe.a)
P = 2.*np.pi/n
simulationTime = macros.sec2nano(0.5*P)
#
# Setup data logging before the simulation is initialized
#
numDataPoints = 10
samplingTime = simulationTime / (numDataPoints-1)
scSim.TotalSim.logThisMessage(scObject.scStateOutMsgName, samplingTime)
scSim.TotalSim.logThisMessage('atmo_dens0_data', samplingTime)
scSim.AddVariableForLogging('ExpAtmo.relativePos', samplingTime, StartIndex=0, StopIndex=2)
#
# initialize Spacecraft States with the initialization variables
#
scObject.hub.r_CN_NInit = unitTestSupport.np2EigenVectorXd(rN) # m - r_CN_N
scObject.hub.v_CN_NInit = unitTestSupport.np2EigenVectorXd(vN) # m - v_CN_N
#
# initialize Simulation
#
scSim.InitializeSimulation()
#
# configure a simulation stop time time and execute the simulation run
#
scSim.ConfigureStopTime(simulationTime)
scSim.ExecuteSimulation()
#
# retrieve the logged data
#
posData = scSim.pullMessageLogData(scObject.scStateOutMsgName+'.r_BN_N',range(3))
velData = scSim.pullMessageLogData(scObject.scStateOutMsgName+'.v_BN_N',range(3))
densData = scSim.pullMessageLogData('atmo_dens0_data.neutralDensity')
relPosData = scSim.GetLogVariableData('ExpAtmo.relativePos')
np.set_printoptions(precision=16)
# Compare to expected values
refAtmoDensData = []
accuracy = 1e-13
for relPos in relPosData:
dist = np.linalg.norm(relPos[1:])
alt = dist - r_eq
refAtmoDensData.append(expAtmoComp(alt,refBaseDens,refScaleHeight))
# check a vector values
for ind in range(0,len(densData)):
if not unitTestSupport.isDoubleEqual(densData[ind,:], refAtmoDensData[ind],accuracy):
testFailCount += 1
testMessages.append(
"FAILED: ExpAtmo failed density unit test at t=" + str(densData[ind, 0] * macros.NANO2SEC) + "sec with a value difference of "+str(densData[ind,1]-refAtmoDensData[ind]))
#
# plot the results
#
if show_plots:
fileNameString = filename[len(path)+6:-3]
# draw the inertial position vector components
plt.figure(1)
fig = plt.gcf()
ax = fig.gca()
ax.ticklabel_format(useOffset=False, style='plain')
for idx in range(1,4):
plt.plot(posData[:, 0]*macros.NANO2SEC/P, posData[:, idx]/1000.,
color=unitTestSupport.getLineColor(idx,3),
label='$r_{BN,'+str(idx)+'}$')
plt.legend(loc='lower right')
plt.xlabel('Time [orbits]')
plt.ylabel('Inertial Position [km]')
# draw orbit in perifocal frame
b = oe.a*np.sqrt(1-oe.e*oe.e)
p = oe.a*(1-oe.e*oe.e)
plt.figure(2,figsize=np.array((1.0, b/oe.a))*4.75,dpi=100)
plt.axis(np.array([-oe.rApoap, oe.rPeriap, -b, b])/1000*1.25)
# draw the planet
fig = plt.gcf()
ax = fig.gca()
planetColor= '#008800'
planetRadius = planet.radEquator/1000
ax.add_artist(plt.Circle((0, 0), planetRadius, color=planetColor))
# draw the actual orbit
rData=[]
fData=[]
for idx in range(0,len(posData)):
oeData = orbitalMotion.rv2elem(mu,posData[idx,1:4],velData[idx,1:4])
rData.append(oeData.rmag)
fData.append(oeData.f + oeData.omega - oe.omega)
plt.plot(rData*np.cos(fData)/1000, rData*np.sin(fData)/1000
,color='#aa0000'
,linewidth = 3.0
)
# draw the full osculating orbit from the initial conditions
fData = np.linspace(0,2*np.pi,100)
rData = []
for idx in range(0,len(fData)):
rData.append(p/(1+oe.e*np.cos(fData[idx])))
plt.plot(rData*np.cos(fData)/1000, rData*np.sin(fData)/1000
,'--'
, color='#555555'
)
plt.xlabel('$i_e$ Cord. [km]')
plt.ylabel('$i_p$ Cord. [km]')
plt.grid()
plt.figure()
fig = plt.gcf()
ax = fig.gca()
ax.ticklabel_format(useOffset=False, style='plain')
smaData = []
for idx in range(0, len(posData)):
oeData = orbitalMotion.rv2elem(mu, posData[idx, 1:4], velData[idx, 1:4])
smaData.append(oeData.a/1000.)
plt.plot(posData[:, 0]*macros.NANO2SEC/P, smaData
,color='#aa0000',
)
plt.xlabel('Time [orbits]')
plt.ylabel('SMA [km]')
plt.figure()
fig = plt.gcf()
ax = fig.gca()
ax.ticklabel_format(useOffset=False, style='plain')
plt.plot(relPosData[:, 0] * macros.NANO2SEC, relPosData[:, 1:4])
plt.title('Density Data vs. Time')
plt.xlabel('Time')
plt.ylabel('Density in kg/m^3')
plt.figure()
fig = plt.gcf()
ax = fig.gca()
ax.ticklabel_format(useOffset=False, style='plain')
plt.plot( densData[:,0]*macros.NANO2SEC, densData[:,1])
plt.title('Density Data vs. Time')
plt.xlabel('Time')
plt.ylabel('Density in kg/m^3')
plt.show()
plt.close()
return testFailCount, testMessages
def multiOrbitBeacons_dynScenario(TheDynSim):
"""
Executes a default scenario for stand-alone dynamic simulations
:params: TheDynSim: instantiation of class DINO_DynSim
:return: None
"""
# Log data for post-processing and plotting
# Set length of simulation in nanoseconds from the simulation start.
simulationTime = mc.sec2nano(10)
# Set the number of data points to be logged, and therefore the sampling frequency
numDataPoints = 100000
samplingTime = simulationTime / (numDataPoints - 1)
log_DynOutputs(TheDynSim, samplingTime)
log_DynCelestialOutputs(TheDynSim, samplingTime)
# Initialize Simulation
TheDynSim.InitializeSimulation()
# Set up the orbit using classical orbit elements
# oe = define_default_orbit()
mu = TheDynSim.DynClass.mu
rN, vN = define_dino_postTMI()
om.rv2elem(mu, rN, vN)
# Initialize Spacecraft States within the state manager (after initialization)
posRef = TheDynSim.DynClass.scObject.dynManager.getStateObject("hubPosition")
velRef = TheDynSim.DynClass.scObject.dynManager.getStateObject("hubVelocity")
sigmaRef = TheDynSim.DynClass.scObject.dynManager.getStateObject("hubSigma")
omegaRef = TheDynSim.DynClass.scObject.dynManager.getStateObject("hubOmega")
# Set the spacecraft initial position, velocity, attitude parameters
posRef.setState(sp.np2EigenVectorXd(rN)) # r_BN_N [m]
velRef.setState(sp.np2EigenVectorXd(vN)) # r_BN_N [m]
sigmaRef.setState([[0.1], [0.2], [-0.3]]) # sigma_BN_B
omegaRef.setState([[0.001], [-0.01], [0.03]]) # omega_BN_B [rad/s]
# Set up beacon orbits using COEs loaded from a file
ephemFile = open("observations_log.txt", 'r')
lines = ephemFile.readlines()
beaconOEs = []
for ind in range(1, 1):
vals = lines[ind].split(',')
desVals = vals[8:]
newOE = om.ClassicElements()
newOE.a = float(desVals[0]) * 1000.0
newOE.e = float(desVals[1])
newOE.i = float(desVals[2])
newOE.omega = float(desVals[3])
newOE.Omega = float(desVals[4])
newOE.f = float(desVals[5])
beaconOEs.append(newOE)
rN, vN = om.elem2rv(mu, newOE)
print "Beacon", ind, " rN:", rN, " vN:", vN
posRef = TheDynSim.DynClass.beaconList[ind - 1].dynManager.getStateObject("hubPosition")
velRef = TheDynSim.DynClass.beaconList[ind - 1].dynManager.getStateObject("hubVelocity")
posRef.setState(sp.np2EigenVectorXd(rN)) # r_BN_N [m]
velRef.setState(sp.np2EigenVectorXd(vN)) # r_BN_N [m]
ephemFile.close()
# Configure a simulation stop time time and execute the simulation run
TheDynSim.ConfigureStopTime(simulationTime)
TheDynSim.ExecuteSimulation()
# Pull data for post-processing and plotting
r_BN, v_BN, sigma_BN, omega_BN_B = pull_DynOutputs(TheDynSim)
sigma_tilde_BN, omega_tilde_BN = pull_senseOutputs(TheDynSim)
r_sun, r_earth, r_moon, r_mars, r_beacons = pull_DynCelestialOutputs(TheDynSim)
## Post-Process sim data using camera, image processing, batch filter DINO modules
###############################################################################
#
# Pull in canned QE and Transmission curves from DINO C-REx files
#
###############################################################################
# load tranmission curve for Canon 20D
tc = np.load('../dinoModels/SimCode/opnavCamera/tc/20D.npz')
# load QE curve for Hubble Space Telecope Advanced Camera for Surveys SITe CCD
qe = np.load('../dinoModels/SimCode/opnavCamera/qe/ACS.npz')
###############################################################################
#
# Initialize camera
#
###############################################################################
earth = camera.beacon()
earth.r_eq = 6378.137
earth.id = 'Earth'
earth.albedo = 0.434
# earth.albedo = 1e30
mars = camera.beacon()
mars.r_eq = 3396.2
mars.id = 'Mars'
mars.albedo = 0.17
moon = camera.beacon()
moon.r_eq = 1738.1
moon.id = 'Moon'
# moon.albedo = 0.12
moon.albedo = .7
beacons = [earth, mars, moon]
# need loop to define asteroids, too
cam, ipParam, navParam = defineParameters(
(512, 512), # camera resolution, width then height
0.05, # focal length in m
(0.01, 0.01), # detector dimensions in m, with then height
beacons, # list of beacons
# transmission curve dict
np.load('../dinoModels/SimCode/opnavCamera/tc/20D.npz'),
# quantum efficiency curve dict
np.load('../dinoModels/SimCode/opnavCamera/qe/ACS.npz'),
1, # bin size for wavelength functions (in nm)
0.01 ** 2, # effective area (m^2)
100, # dark current electrons/s/pixel
100, # read noise STD (in electrons per pixel)
100, # bin size
2 ** 32, # saturation depth
1, # Standard deviation for PSF (in Pixels)
0.01 # simulation timestep
)
# this is spoofing the output of the nav exec
# telling the camera when to take an image.
takeImage = np.zeros(len(r_BN))
takeImage[100] = 1
takeImage[200] = 1
takeImage[300] = 1
#cam, beaconList, r_BN, r_earth, r_moon, r_mars
detectorArrays, imgTimes, imgPos, imgMRP, imgBeaconPos = genCamImages(cam, beacons, r_BN, r_earth, r_moon, r_mars, takeImage)
# Run the Image Processing Module
beaconPLNav, beaconIDsNav, imgMRPNav, imgTimesNav, numNavInputs = genImgProc(detectorArrays, imgPos, imgMRP, imgBeaconPos, imgTimes, ipParam)
print "*******Image Processing Outputs*******"
print "Beacon PL:"
print beaconPLNav
print "beaconIDs:"
print beaconIDsNav
filterOutputs = genNavOutputs(beaconPLNav, beaconIDsNav, imgTimesNav, imgMRPNav, r_BN, v_BN, navParam)
print "********** Filter Run Complete ************"
def run(show_plots, orbitCase, planetCase):
'''Call this routine directly to run the tutorial scenario.'''
testFailCount = 0 # zero unit test result counter
testMessages = [] # create empty array to store test log messages
#
# From here on there scenario python code is found. Above this line the code is to setup a
# unitTest environment. The above code is not critical if learning how to code BSK.
#
# Create simulation variable names
simTaskName = "simTask"
simProcessName = "simProcess"
# Create a sim module as an empty container
scSim = SimulationBaseClass.SimBaseClass()
scSim.TotalSim.terminateSimulation()
# create the simulation process
dynProcess = scSim.CreateNewProcess(simProcessName)
# create the dynamics task and specify the integration update time
simulationTimeStep = macros.sec2nano(10.)
dynProcess.addTask(scSim.CreateNewTask(simTaskName, simulationTimeStep))
# Initialize new atmosphere and drag model, add them to task
newAtmo = exponentialAtmosphere.ExponentialAtmosphere()
atmoTaskName = "atmosphere"
newAtmo.ModelTag = "ExpAtmo"
dragEffector = dragDynamicEffector.DragDynamicEffector()
dynProcess.addTask(scSim.CreateNewTask(atmoTaskName, simulationTimeStep))
#dynProcess.addTask(scSim.CreateNewTask(dragEffectorTaskName, simulationTimeStep))
scSim.AddModelToTask(atmoTaskName, newAtmo)
#scSim.AddModelToTask(dragEffectorTaskName, dragEffector)
#
# setup the simulation tasks/objects
#
# initialize spacecraftPlus object and set properties
scObject = spacecraftPlus.SpacecraftPlus()
scObject.ModelTag = "spacecraftBody"
scObject.hub.useTranslation = True
scObject.hub.useRotation = False
#scObject.addDynamicEffector(dragEffector)
# add spacecraftPlus object to the simulation process
scSim.AddModelToTask(simTaskName, scObject)
# clear prior gravitational body and SPICE setup definitions
gravFactory = simIncludeGravBody.gravBodyFactory()
newAtmo.addSpacecraftToModel(scObject.scStateOutMsgName)
#dragEffector.SetDensityMessage(newAtmo.atmoDensOutMsgNames[-1])
if planetCase == "Earth":
planet = gravFactory.createEarth()
newAtmo.setPlanet("earth")
elif planetCase == "Mars":
planet = gravFactory.createMars()
newAtmo.setPlanet("mars")
planet.isCentralBody = True # ensure this is the central gravitational body
mu = planet.mu
# attach gravity model to spaceCraftPlus
scObject.gravField.gravBodies = spacecraftPlus.GravBodyVector(
gravFactory.gravBodies.values())
#
# setup orbit and simulation time
oe = orbitalMotion.ClassicElements()
if planetCase == "Earth":
r_eq = 6371 * 1000.0
refBaseDens = 1.217
refScaleHeight = 8500.0
if orbitCase == "LPO":
orbAltMin = 300.0 * 1000.0
orbAltMax = orbAltMin
elif orbitCase == "LTO":
orbAltMin = 300 * 1000.0
orbAltMax = 800.0 * 1000.0
elif planetCase == "Mars":
refBaseDens = 0.020
refScaleHeight = 11100.0
r_eq = 3389.5 * 1000.0
if orbitCase == "LPO":
orbAltMin = 100.0 * 1000.0
orbAltMax = orbAltMin
elif orbitCase == "LTO":
orbAltMin = 100.0 * 1000.0
orbAltMax = 500.0 * 1000.0
else:
return 1, "Test failed- did not initialize planets."
rMin = r_eq + orbAltMin
rMax = r_eq + orbAltMax
oe.a = (rMin + rMax) / 2.0
oe.e = 1.0 - rMin / oe.a
oe.i = 0.0 * macros.D2R
oe.Omega = 0.0 * macros.D2R
oe.omega = 0.0 * macros.D2R
oe.f = 0.0 * macros.D2R
rN, vN = orbitalMotion.elem2rv(mu, oe)
oe = orbitalMotion.rv2elem(
mu, rN, vN) # this stores consistent initial orbit elements
# with circular or equatorial orbit, some angles are
# arbitrary
# set the simulation time
n = np.sqrt(mu / oe.a / oe.a / oe.a)
P = 2. * np.pi / n
simulationTime = macros.sec2nano(0.5 * P)
#
# Setup data logging before the simulation is initialized
#
numDataPoints = 10
samplingTime = simulationTime / (numDataPoints - 1)
scSim.TotalSim.logThisMessage(scObject.scStateOutMsgName, samplingTime)
scSim.TotalSim.logThisMessage('atmo_dens0_data', samplingTime)
scSim.AddVariableForLogging('ExpAtmo.relativePos',
samplingTime,
StartIndex=0,
StopIndex=2)
#
# initialize Spacecraft States with the initialization variables
#
scObject.hub.r_CN_NInit = unitTestSupport.np2EigenVectorXd(
rN) # m - r_CN_N
scObject.hub.v_CN_NInit = unitTestSupport.np2EigenVectorXd(
vN) # m - v_CN_N
#
# initialize Simulation
#
scSim.InitializeSimulation()
#
# configure a simulation stop time time and execute the simulation run
#
scSim.ConfigureStopTime(simulationTime)
scSim.ExecuteSimulation()
#
# retrieve the logged data
#
posData = scSim.pullMessageLogData(scObject.scStateOutMsgName + '.r_BN_N',
range(3))
velData = scSim.pullMessageLogData(scObject.scStateOutMsgName + '.v_BN_N',
range(3))
densData = scSim.pullMessageLogData('atmo_dens0_data.neutralDensity')
relPosData = scSim.GetLogVariableData('ExpAtmo.relativePos')
np.set_printoptions(precision=16)
# Compare to expected values
refAtmoDensData = []
accuracy = 1e-13
for relPos in relPosData:
dist = np.linalg.norm(relPos[1:])
alt = dist - r_eq
refAtmoDensData.append(expAtmoComp(alt, refBaseDens, refScaleHeight))
# check a vector values
for ind in range(0, len(densData)):
if not unitTestSupport.isDoubleEqual(densData[ind, :],
refAtmoDensData[ind], accuracy):
testFailCount += 1
testMessages.append(
"FAILED: ExpAtmo failed density unit test at t=" +
str(densData[ind, 0] * macros.NANO2SEC) +
"sec with a value difference of " +
str(densData[ind, 1] - refAtmoDensData[ind]))
#
# plot the results
#
if show_plots:
fileNameString = filename[len(path) + 6:-3]
# draw the inertial position vector components
plt.figure(1)
fig = plt.gcf()
ax = fig.gca()
ax.ticklabel_format(useOffset=False, style='plain')
for idx in range(1, 4):
plt.plot(posData[:, 0] * macros.NANO2SEC / P,
posData[:, idx] / 1000.,
color=unitTestSupport.getLineColor(idx, 3),
label='$r_{BN,' + str(idx) + '}$')
plt.legend(loc='lower right')
plt.xlabel('Time [orbits]')
plt.ylabel('Inertial Position [km]')
# draw orbit in perifocal frame
b = oe.a * np.sqrt(1 - oe.e * oe.e)
p = oe.a * (1 - oe.e * oe.e)
plt.figure(2, figsize=np.array((1.0, b / oe.a)) * 4.75, dpi=100)
plt.axis(np.array([-oe.rApoap, oe.rPeriap, -b, b]) / 1000 * 1.25)
# draw the planet
fig = plt.gcf()
ax = fig.gca()
planetColor = '#008800'
planetRadius = planet.radEquator / 1000
ax.add_artist(plt.Circle((0, 0), planetRadius, color=planetColor))
# draw the actual orbit
rData = []
fData = []
for idx in range(0, len(posData)):
oeData = orbitalMotion.rv2elem(mu, posData[idx, 1:4], velData[idx,
1:4])
rData.append(oeData.rmag)
fData.append(oeData.f + oeData.omega - oe.omega)
plt.plot(rData * np.cos(fData) / 1000,
rData * np.sin(fData) / 1000,
color='#aa0000',
linewidth=3.0)
# draw the full osculating orbit from the initial conditions
fData = np.linspace(0, 2 * np.pi, 100)
rData = []
for idx in range(0, len(fData)):
rData.append(p / (1 + oe.e * np.cos(fData[idx])))
plt.plot(rData * np.cos(fData) / 1000,
rData * np.sin(fData) / 1000,
'--',
color='#555555')
plt.xlabel('$i_e$ Cord. [km]')
plt.ylabel('$i_p$ Cord. [km]')
plt.grid()
plt.figure()
fig = plt.gcf()
ax = fig.gca()
ax.ticklabel_format(useOffset=False, style='plain')
smaData = []
for idx in range(0, len(posData)):
oeData = orbitalMotion.rv2elem(mu, posData[idx, 1:4], velData[idx,
1:4])
smaData.append(oeData.a / 1000.)
plt.plot(
posData[:, 0] * macros.NANO2SEC / P,
smaData,
color='#aa0000',
)
plt.xlabel('Time [orbits]')
plt.ylabel('SMA [km]')
plt.figure()
fig = plt.gcf()
ax = fig.gca()
ax.ticklabel_format(useOffset=False, style='plain')
plt.plot(relPosData[:, 0] * macros.NANO2SEC, relPosData[:, 1:4])
plt.title('Density Data vs. Time')
plt.xlabel('Time')
plt.ylabel('Density in kg/m^3')
plt.figure()
fig = plt.gcf()
ax = fig.gca()
ax.ticklabel_format(useOffset=False, style='plain')
plt.plot(densData[:, 0] * macros.NANO2SEC, densData[:, 1])
plt.title('Density Data vs. Time')
plt.xlabel('Time')
plt.ylabel('Density in kg/m^3')
plt.show()
plt.close()
return testFailCount, testMessages
def multiOrbitBeacons_dynScenario(TheDynSim):
"""
Executes a default scenario for stand-alone dynamic simulations
:params: TheDynSim: instantiation of class DINO_DynSim
:return: None
"""
# Log data for post-processing and plotting
# Set length of simulation in nanoseconds from the simulation start.
simulationTime = mc.sec2nano(10)
# Set the number of data points to be logged, and therefore the sampling frequency
numDataPoints = 100000
samplingTime = simulationTime / (numDataPoints - 1)
log_DynOutputs(TheDynSim, samplingTime)
log_DynCelestialOutputs(TheDynSim, samplingTime)
# Initialize Simulation
TheDynSim.InitializeSimulation()
# Set up the orbit using classical orbit elements
# oe = define_default_orbit()
mu = TheDynSim.DynClass.mu
rN, vN = define_dino_postTMI()
om.rv2elem(mu, rN, vN)
# Initialize Spacecraft States within the state manager (after initialization)
posRef = TheDynSim.DynClass.scObject.dynManager.getStateObject(
"hubPosition")
velRef = TheDynSim.DynClass.scObject.dynManager.getStateObject(
"hubVelocity")
sigmaRef = TheDynSim.DynClass.scObject.dynManager.getStateObject(
"hubSigma")
omegaRef = TheDynSim.DynClass.scObject.dynManager.getStateObject(
"hubOmega")
# Set the spacecraft initial position, velocity, attitude parameters
posRef.setState(sp.np2EigenVectorXd(rN)) # r_BN_N [m]
velRef.setState(sp.np2EigenVectorXd(vN)) # r_BN_N [m]
sigmaRef.setState([[0.1], [0.2], [-0.3]]) # sigma_BN_B
omegaRef.setState([[0.001], [-0.01], [0.03]]) # omega_BN_B [rad/s]
# Set up beacon orbits using COEs loaded from a file
ephemFile = open("observations_log.txt", 'r')
lines = ephemFile.readlines()
beaconOEs = []
for ind in range(1, 1):
vals = lines[ind].split(',')
desVals = vals[8:]
newOE = om.ClassicElements()
newOE.a = float(desVals[0]) * 1000.0
newOE.e = float(desVals[1])
newOE.i = float(desVals[2])
newOE.omega = float(desVals[3])
newOE.Omega = float(desVals[4])
newOE.f = float(desVals[5])
beaconOEs.append(newOE)
rN, vN = om.elem2rv(mu, newOE)
print "Beacon", ind, " rN:", rN, " vN:", vN
posRef = TheDynSim.DynClass.beaconList[
ind - 1].dynManager.getStateObject("hubPosition")
velRef = TheDynSim.DynClass.beaconList[
ind - 1].dynManager.getStateObject("hubVelocity")
posRef.setState(sp.np2EigenVectorXd(rN)) # r_BN_N [m]
velRef.setState(sp.np2EigenVectorXd(vN)) # r_BN_N [m]
ephemFile.close()
# Configure a simulation stop time time and execute the simulation run
TheDynSim.ConfigureStopTime(simulationTime)
TheDynSim.ExecuteSimulation()
# Pull data for post-processing and plotting
r_BN, v_BN, sigma_BN, omega_BN_B = pull_DynOutputs(TheDynSim)
sigma_tilde_BN, omega_tilde_BN = pull_senseOutputs(TheDynSim)
r_sun, r_earth, r_moon, r_mars, r_beacons = pull_DynCelestialOutputs(
TheDynSim)
## Post-Process sim data using camera, image processing, batch filter DINO modules
###############################################################################
#
# Pull in canned QE and Transmission curves from DINO C-REx files
#
###############################################################################
# load tranmission curve for Canon 20D
tc = np.load('../dinoModels/SimCode/opnavCamera/tc/20D.npz')
# load QE curve for Hubble Space Telecope Advanced Camera for Surveys SITe CCD
qe = np.load('../dinoModels/SimCode/opnavCamera/qe/ACS.npz')
###############################################################################
#
# Initialize camera
#
###############################################################################
earth = camera.beacon()
earth.r_eq = 6378.137
earth.id = 'Earth'
earth.albedo = 0.434
# earth.albedo = 1e30
mars = camera.beacon()
mars.r_eq = 3396.2
mars.id = 'Mars'
mars.albedo = 0.17
moon = camera.beacon()
moon.r_eq = 1738.1
moon.id = 'Moon'
# moon.albedo = 0.12
moon.albedo = .7
beacons = [earth, mars, moon]
# need loop to define asteroids, too
cam, ipParam, navParam = defineParameters(
(512, 512), # camera resolution, width then height
0.05, # focal length in m
(0.01, 0.01), # detector dimensions in m, with then height
beacons, # list of beacons
# transmission curve dict
np.load('../dinoModels/SimCode/opnavCamera/tc/20D.npz'),
# quantum efficiency curve dict
np.load('../dinoModels/SimCode/opnavCamera/qe/ACS.npz'),
1, # bin size for wavelength functions (in nm)
0.01**2, # effective area (m^2)
100, # dark current electrons/s/pixel
100, # read noise STD (in electrons per pixel)
100, # bin size
2**32, # saturation depth
1, # Standard deviation for PSF (in Pixels)
0.01 # simulation timestep
)
# this is spoofing the output of the nav exec
# telling the camera when to take an image.
takeImage = np.zeros(len(r_BN))
takeImage[100] = 1
takeImage[200] = 1
takeImage[300] = 1
#cam, beaconList, r_BN, r_earth, r_moon, r_mars
detectorArrays, imgTimes, imgPos, imgMRP, imgBeaconPos = genCamImages(
cam, beacons, r_BN, r_earth, r_moon, r_mars, takeImage)
# Run the Image Processing Module
beaconPLNav, beaconIDsNav, imgMRPNav, imgTimesNav, numNavInputs = genImgProc(
detectorArrays, imgPos, imgMRP, imgBeaconPos, imgTimes, ipParam)
print "*******Image Processing Outputs*******"
print "Beacon PL:"
print beaconPLNav
print "beaconIDs:"
print beaconIDsNav
filterOutputs = genNavOutputs(beaconPLNav, beaconIDsNav, imgTimesNav,
imgMRPNav, r_BN, v_BN, navParam)
print "********** Filter Run Complete ************"