Source code for test_Integrators

''' '''
'''
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 Copyright (c) 2016, Autonomous Vehicle Systems Lab, University of Colorado at Boulder

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'''


#
# Basilisk Unit Test
#
# Purpose:  Unit test of the dynamics integrator function
# Author:   Hanspeter Schaub
# Creation Date:  Dec. 14, 2016
#

import pytest
import os
import inspect
import numpy as np

# import general simulation support files
from Basilisk.utilities import SimulationBaseClass
from Basilisk.utilities import unitTestSupport                  # general support file with common unit test functions
import matplotlib.pyplot as plt
from Basilisk.utilities import macros
from Basilisk.utilities import orbitalMotion
# import simulation related support
from Basilisk.simulation import spacecraftPlus
from Basilisk.utilities import simIncludeGravBody
from Basilisk.simulation import svIntegrators

# @cond DOXYGEN_IGNORE
filename = inspect.getframeinfo(inspect.currentframe()).filename
path = os.path.dirname(os.path.abspath(filename))
# @endcond

# uncomment this line is this test is to be skipped in the global unit test run, adjust message as needed
# @pytest.mark.skipif(conditionstring)
# uncomment this line if this test has an expected failure, adjust message as needed
# @pytest.mark.xfail(True, reason="Scott's brain no-worky\n")
# The following 'parametrize' function decorator provides the parameters and expected results for each
#   of the multiple test runs for this test.
[docs]@pytest.mark.parametrize("integratorCase", ["rk4", "euler", "rk2"]) def test_scenarioIntegrators(show_plots, integratorCase): '''This function is called by the py.test environment.''' # each test method requires a single assert method to be called [testResults, testMessage] = run( True, show_plots, integratorCase) assert testResults < 1, testMessage
[docs]def run(doUnitTests, show_plots, integratorCase): '''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 # Create simulation variable names simTaskName = "simTask" simProcessName = "simProcess" # Create a sim module as an empty container scSim = SimulationBaseClass.SimBaseClass() # # create the simulation process # dynProcess = scSim.CreateNewProcess(simProcessName) # create the dynamics task and specify the integration update time simulationTimeStep = macros.sec2nano(120.) dynProcess.addTask(scSim.CreateNewTask(simTaskName, simulationTimeStep)) # if this scenario is to interface with the BSK Viz, uncomment the following lines # unitTestSupport.enableVisualization(scSim, dynProcess, simProcessName, 'earth') # The Viz only support 'earth', 'mars', or 'sun' # # setup the simulation tasks/objects # # initialize spacecraftPlus object and set properties scObject = spacecraftPlus.SpacecraftPlus() scObject.ModelTag = "spacecraftBody" # default case, RK4 is automatically setup, no extra code is needed if integratorCase == "euler": integratorObject = svIntegrators.svIntegratorEuler(scObject) scObject.setIntegrator(integratorObject) elif integratorCase == "rk2": integratorObject = svIntegrators.svIntegratorRK2(scObject) scObject.setIntegrator(integratorObject) # add spacecraftPlus object to the simulation process scSim.AddModelToTask(simTaskName, scObject) # clear prior gravitational body and SPICE setup definitions gravFactory = simIncludeGravBody.gravBodyFactory() earth = gravFactory.createEarth() earth.isCentralBody = True # ensure this is the central gravitational body mu = earth.mu # attach gravity model to spaceCraftPlus scObject.gravField.gravBodies = spacecraftPlus.GravBodyVector(list(gravFactory.gravBodies.values())) # # setup orbit and simulation time # # setup the orbit using classical orbit elements oe = orbitalMotion.ClassicElements() rLEO = 7000.*1000 # meters oe.a = rLEO oe.e = 0.0001 oe.i = 33.3*macros.D2R oe.Omega = 48.2*macros.D2R oe.omega = 347.8*macros.D2R oe.f = 85.3*macros.D2R rN, vN = orbitalMotion.elem2rv(mu, oe) oe = orbitalMotion.rv2elem(mu, rN, vN) # # initialize Spacecraft States with in 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 # set the simulation time n = np.sqrt(mu/oe.a/oe.a/oe.a) P = 2.*np.pi/n simulationTime = macros.sec2nano(0.75*P) # # Setup data logging before the simulation is initialized # numDataPoints = 100 samplingTime = simulationTime // numDataPoints scSim.TotalSim.logThisMessage(scObject.scStateOutMsgName, samplingTime) # # initialize Simulation # scSim.InitializeSimulationAndDiscover() # # 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', list(range(3))) velData = scSim.pullMessageLogData(scObject.scStateOutMsgName+'.v_BN_N', list(range(3))) # # plot the results # np.set_printoptions(precision=16) fileNameString = filename[len(path)+6:-3] if integratorCase == "rk4": plt.close("all") # clears out plots from earlier test runs # 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(1,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() fig.set_tight_layout(False) ax = fig.gca() planetColor= '#008800' planetRadius = earth.radEquator/1000 ax.add_artist(plt.Circle((0, 0), planetRadius, color=planetColor)) # draw the actual orbit rData = [] fData = [] labelStrings = ("rk4", "euler", "rk2") 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=unitTestSupport.getLineColor(labelStrings.index(integratorCase)+1, 3) , label=integratorCase , 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.legend(loc='lower right') plt.grid() if doUnitTests: # only save off the figure if doing a unit test run # unitTestSupport.saveScenarioFigure( # fileNameString # , plt, path) # unitTestSupport.saveFigurePDF( # fileNameString # , plt, path # ) unitTestSupport.writeFigureLaTeX( "scenarioIntegrators", "Illustration of the BSK integrated trajectories", plt, "", path) if show_plots: plt.show() plt.close('all') # # close the plots being saved off to avoid over-writing old and new figures # plt.close("all") # # the python code below is for the unit testing mode. If you are studying the scenario # to learn how to run BSK, you can stop reading below this line. # if doUnitTests: numTruthPoints = 5 skipValue = int(len(posData)/(numTruthPoints-1)) dataPosRed = posData[::skipValue] # setup truth data for unit test if integratorCase is "rk4": truePos = [ [-2.8168016010234915e6, 5.248174846916147e6, 3.677157264677297e6] , [-6.379381726549218e6, -1.4688565370540658e6, 2.4807857675497606e6] , [-2.230094305694789e6, -6.410420020364709e6, -1.7146277675541767e6] , [4.614900659014343e6, -3.60224207689023e6, -3.837022825958977e6] , [5.879095186201691e6, 3.561495655367985e6, -1.3195821703218794e6] ] if integratorCase is "euler": truePos = [ [-2.8168016010234915e6, 5.248174846916147e6, 3.677157264677297e6] , [-7.061548530211288e6, -1.4488790844105487e6, 2.823580168201031e6] , [-4.831279689590867e6, -8.015202650472983e6, -1.1434851461593418e6] , [719606.5825106134, -1.0537603309084207e7, -4.966060248346598e6] , [6.431097055190775e6, -9.795566286964862e6, -7.438012269629238e6] ] if integratorCase is "rk2": truePos = [ [-2.8168016010234915e6, 5.248174846916147e6, 3.677157264677297e6] , [-6.425636528569288e6, -1.466693214251768e6, 2.50438327358707e6] , [-2.466642497083674e6, -6.509473992136429e6, -1.6421621818735446e6] , [4.342561337924192e6, -4.1593822658140697e6, -3.947594705237753e6] , [6.279757158711852e6, 2.8527385905952943e6, -1.8260959147806289e6] ] # compare the results to the truth values accuracy = 1.0 # meters testFailCount, testMessages = unitTestSupport.compareArray( truePos, dataPosRed, accuracy, "r_BN_N Vector", testFailCount, testMessages) # print out success message if no error were found if testFailCount == 0: print("PASSED ") passFailText = "PASSED" colorText = 'ForestGreen' # color to write auto-documented "PASSED" message in in LATEX snippetContent = "" else: print(testFailCount) print(testMessages) passFailText = 'FAILED' colorText = 'Red' # color to write auto-documented "FAILED" message in in LATEX snippetContent = r"\begin{verbatim}" for message in testMessages: snippetContent += message snippetContent += r"\end{verbatim}" snippetMsgName = fileNameString + 'Msg-' + integratorCase unitTestSupport.writeTeXSnippet(snippetMsgName, snippetContent, path) snippetPassFailName = fileNameString + 'TestMsg-' + integratorCase snippetContent = r'\textcolor{' + colorText + '}{' + passFailText + '}' unitTestSupport.writeTeXSnippet(snippetPassFailName, snippetContent, path) # each test method requires a single assert method to be called # this check below just makes sure no sub-test failures were found return [testFailCount, ''.join(testMessages)]
# # This statement below ensures that the unit test scrip can be run as a # stand-along python script # if __name__ == "__main__": run(True, # do unit tests True, # show_plots 'rk4') # integrator case(0 - RK4, 1 - Euler, 2 - RK2)