Source code for scenarioBasicOrbitLivePlot

#
#  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 duplicates the basic orbit simulation in the scenario :ref:`scenarioBasicOrbit`.
The difference is that instead of plotting the results after the simulation has stopped in this script a separate
thread is created to update the plots live during the simulation run itself. For more information on doing live
plotting see help file :ref:`usingLivePlotting`.

The script is found in the folder ``src/examples`` and executed by using::

    python3 scenarioBasicOrbitLivePlot.py

As with :ref:`scenarioBasicOrbit`, different simulation scenarios are setup which are
controlled through the simulation flags set at the end of the file.

To enable live plotting with a regular Basilisk simulation additional
python packages ``Pipe``, ``Process`` must be imported.

Without live plotting you simply call ``ExecuteSimulation()`` and plot the logged data.  The plotting and logging
is done now within the method ``plot()``.

If ``livePlots`` is true, then a separate process is created to poll the BSK process for data and plot the data
incrementally.  The live plotting is done with the method ``live_outputs()``.  Be cautious in how much data should be
plotted live as this can greatly slow down the simulation.  Remember that less can be more.

To avoid the live plotting simulation running too fast, a software-based realtime clock
module is used with an acceleration factor of 50x.

"""

#
# Basilisk Scenario Script and Integrated Test
#
# Purpose:  Integrated test of the spacecraftPlus() and gravity modules.  Illustrates
#           a 3-DOV spacecraft on a range of orbit types.
# Author:   Hanspeter Schaub
# Creation Date:  Nov. 26, 2016
#

import os
import numpy as np

# The following imports are required to do live plotting
from multiprocessing import Pipe, Process
from time import sleep

import matplotlib.pyplot as plt
# The path to the location of Basilisk
# Used to get the location of supporting data.
from Basilisk import __path__
bskPath = __path__[0]
fileName = os.path.basename(os.path.splitext(__file__)[0])

# import simulation related support
from Basilisk.simulation import spacecraftPlus
from Basilisk.simulation import clock_synch
# general support file with common unit test functions
# import general simulation support files
from Basilisk.utilities import (SimulationBaseClass, macros, orbitalMotion,
                                simIncludeGravBody, unitTestSupport, vizSupport)



[docs]def run(showPlots, livePlots, orbitCase, useSphericalHarmonics, planetCase): """ At the end of the python script you can specify the following example parameters. Args: show_plots (bool): Determines if the script should display plots livePlots (bool): Determines if the script should use live plotting orbitCase (str): ====== ============================ String Definition ====== ============================ 'LEO' Low Earth Orbit 'GEO' Geosynchronous Orbit 'GTO' Geostationary Transfer Orbit ====== ============================ useSphericalHarmonics (Bool): False to use first order gravity approximation: :math:`\\frac{GMm}{r^2}` planetCase (str): {'Earth', 'Mars'} """ # 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(10.) dynProcess.addTask(scSim.CreateNewTask(simTaskName, simulationTimeStep)) # # setup the simulation tasks/objects # # initialize spacecraftPlus object and set properties scObject = spacecraftPlus.SpacecraftPlus() scObject.ModelTag = "spacecraftBody" # add spacecraftPlus object to the simulation process scSim.AddModelToTask(simTaskName, scObject) # setup Gravity Body gravFactory = simIncludeGravBody.gravBodyFactory() if planetCase is 'Mars': planet = gravFactory.createMarsBarycenter() planet.isCentralBody = True # ensure this is the central gravitational body if useSphericalHarmonics: planet.useSphericalHarmParams = True simIncludeGravBody.loadGravFromFile(bskPath + '/supportData/LocalGravData/GGM2BData.txt', planet.spherHarm, 100) else: # Earth planet = gravFactory.createEarth() planet.isCentralBody = True # ensure this is the central gravitational body if useSphericalHarmonics: planet.useSphericalHarmParams = True simIncludeGravBody.loadGravFromFile(bskPath + '/supportData/LocalGravData/GGM03S-J2-only.txt', planet.spherHarm, 2) mu = planet.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 rGEO = 42000. * 1000 # meters if orbitCase is 'GEO': oe.a = rGEO oe.e = 0.00001 oe.i = 0.0 * macros.D2R elif orbitCase is 'GTO': oe.a = (rLEO + rGEO) / 2.0 oe.e = 1.0 - rLEO / oe.a oe.i = 0.0 * macros.D2R else: # LEO case, default case 0 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) # this stores consistent initial orbit elements # with circular or equatorial orbit, some angles are arbitrary # # initialize Spacecraft States with the initialization variables # scObject.hub.r_CN_NInit = unitTestSupport.np2EigenVectorXd(rN) # m - r_BN_N scObject.hub.v_CN_NInit = unitTestSupport.np2EigenVectorXd(vN) # m/s - v_BN_N if livePlots: clockSync = clock_synch.ClockSynch() clockSync.accelFactor = 50.0 scSim.AddModelToTask(simTaskName, clockSync) # set the simulation time n = np.sqrt(mu / oe.a / oe.a / oe.a) P = 2. * np.pi / n if useSphericalHarmonics: simulationTime = macros.sec2nano(3. * P) else: simulationTime = macros.sec2nano(0.75 * P) # # Setup data logging before the simulation is initialized # if useSphericalHarmonics: numDataPoints = 400 else: numDataPoints = 100 samplingTime = simulationTime // (numDataPoints - 1) scSim.TotalSim.logThisMessage(scObject.scStateOutMsgName, samplingTime) # if this scenario is to interface with the BSK Viz, uncomment the following line # vizSupport.enableUnityVisualization(scSim, simTaskName, simProcessName, gravBodies=gravFactory, saveFile=fileName) # # initialize Simulation: This function clears the simulation log, and runs the self_init() # cross_init() and reset() routines on each module. # If the routine InitializeSimulationAndDiscover() is run instead of InitializeSimulation(), # then the all messages are auto-discovered that are shared across different BSK threads. # scSim.InitializeSimulationAndDiscover() # # configure a simulation stop time # scSim.ConfigureStopTime(simulationTime) if livePlots: # After configuring the stop time, in livePlotting mode the simulation must be executed differently. Note the code: refreshRate = 1000 plotComm, simComm = Pipe() plotArgs = [showPlots, scSim, scObject, useSphericalHarmonics, planetCase, planet, oe, P, mu, orbitCase] simProc = Process(target = scSim.ExecuteSimulation, args = (showPlots, livePlots, simComm, plot, plotArgs)) plotProc = Process(target = live_outputs, args = (plotComm, scObject, useSphericalHarmonics, planetCase, planet, oe, P, mu, refreshRate)) # Execute simulation and live plotting simProc.start(), plotProc.start() simProc.join(), plotProc.join() return else: scSim.ExecuteSimulation() posData, figureList = plot(showPlots, scSim, scObject, useSphericalHarmonics, planetCase, planet, oe, P, mu, orbitCase) return posData, figureList
def plot(showPlots, scSim, scObject, useSphericalHarmonics, planetCase, planet, oe, P, mu, orbitCase): np.set_printoptions(precision=16) # # 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 # # draw the inertial position vector components plt.close("all") # clears out plots from earlier test runs 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]') figureList = {} pltName = fileName + "1" + orbitCase + str(int(useSphericalHarmonics))+ planetCase figureList[pltName] = plt.figure(1) if useSphericalHarmonics is False: # 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() if planetCase == 'Mars': planetColor = '#884400' else: 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() else: plt.figure(2) 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]') pltName = fileName + "2" + orbitCase + str(int(useSphericalHarmonics)) + planetCase figureList[pltName] = plt.figure(2) if showPlots: plt.show() # close the plots being saved off to avoid over-writing old and new figures plt.close("all") return posData, figureList def live_outputs(plotComm, scObject, useSphericalHarmonics, planetCase, planet, oe, P, mu, rate): dataRequests = setup_live_outputs(scObject, oe, planetCase, planet) while True: for request in dataRequests: plotComm.send(request) response = plotComm.recv() if response == "TERM": plt.close("all") return pltArgs = [] for resp in response["dataResp"]: pltArgs.append(np.array(resp)) # # retrieve the logged data # posData = pltArgs[0] velData = pltArgs[1] np.set_printoptions(precision=16) # # plot the results # # 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.xlabel('Time [orbits]') plt.ylabel('Inertial Position [km]') if useSphericalHarmonics is False: # 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() if planetCase == 'Mars': planetColor = '#884400' else: 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]') else: plt.figure(2) 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.legend(loc='lower right') plt.xlabel('Time [orbits]') plt.ylabel('SMA [km]') plt.pause(.01) sleep(rate/1000.) def setup_live_outputs(scObject, oe, planetCase, planet): #define data of interest dataRequests = [{"plotID" : None, "plotFun" : None, "dataReq" : [scObject.scStateOutMsgName + '.r_BN_N', scObject.scStateOutMsgName + '.v_BN_N']}] return dataRequests # Setup | orbitCase | useSphericalHarmonics | planetCase # ----- | ------------------- | --------------------- | ----------- # 1 | LEO | False | Earth # 2 | GTO | False | Earth # 3 | GEO | False | Earth # 4 | LEO | True | Earth # 5 | LEO | False | Mars # # This statement below ensures that the unit test scrip can be run as a # stand-along python script # if __name__ == "__main__": run( True, # showPlots True, # livePlots 'LEO', # orbit Case (LEO, GTO, GEO) False, # useSphericalHarmonics 'Earth' # planetCase (Earth, Mars) )