def ImportFacilities(STKVersion, filepath):
# ImportFacilities attaches to an open instance of STK and imports position data
# from an Excel spreadsheet. Inputs include STK whole number version as an
# integer and Excel file path. Units are assumed to be degrees and meters with a
# header row in the Excel file for ID, LAT, LON, ALT. This function requires the
# pandas Python library.
#
# Example: ImportFacilities(12, 'GroundSites.xlsx')
import pandas as pd
from comtypes.client import GetActiveObject
# Grab a running instance of STK
uiApplication = GetActiveObject(f'STK{STKVersion}.Application')
root = uiApplication.Personality2
from comtypes.gen import STKObjects
# Grab current scenario
scenario = root.CurrentScenario
uiApplication.Visible = True
uiApplication.UserControl = True
scenario2 = scenario.QueryInterface(STKObjects.IAgScenario)
# Change the latitude and longitude to degrees
root.UnitPreferences.Item('Latitude').SetCurrentUnit('deg')
root.UnitPreferences.Item('Longitude').SetCurrentUnit('deg')
# Change the distance to meters
root.UnitPreferences.SetCurrentUnit('Distance', 'm')
# Use pandas to read in excel sheet as a dataframe
df = pd.read_excel(filepath)
# Iterate through each row
for i, row in df.iterrows():
facName = row['ID']
lat = row['LAT']
lon = row['LON']
alt = row['ALT']
type(facName)
# There cannot be two objects with the same name in STK, so
# if there is already a facility with the same name, delete it.
if scenario.Children.Contains(STKObjects.eFacility, facName):
obj = scenario.Children.Item(facName)
obj.Unload()
# Create the facility with the name listed in the excel sheet
fac = scenario.Children.New(STKObjects.eFacility, facName)
fac2 = fac.QueryInterface(STKObjects.IAgFacility)
# Choose to not use terrain
fac2.UseTerrain = False
# Set the latitude, longitude, and altitude
fac2.Position.AssignGeodetic(row['LAT'], row['LON'], row['ALT'])
def loadSats(df, maxSats=100, maxDur=100):
# Load satellites
try:
app = GetActiveObject('STK11.Application')
root = app.Personality2
except:
app = CreateObject('STK11.Application')
app.Visible = True
app.UserControl = True
root = app.Personality2
root.NewScenario('LifeTimeRuns')
root.UnitPreferences.SetCurrentUnit('DateFormat', 'EpDay')
sc = root.CurrentScenario
# Color by Lifetime
colors = ((df['LT Years'] - 0) * (1 / (maxDur - 0) * 255)).astype('uint8')
colorsInt = []
for ii in range(len(colors)):
colorsInt.append(
int(
'00' + "{0:#0{1}x}".format(colors.iloc[ii], 4)[2:] +
"{0:#0{1}x}".format(255 - colors.iloc[ii], 4)[2:], 16))
# Loop through the df
if len(df) <= maxSats:
for ii in range(len(df)):
satName = str(int(df['Run ID'].iloc[ii]))
if sc.Children.Contains(STKObjects.eSatellite, satName) == False:
sat = sc.Children.New(STKObjects.eSatellite, satName)
sat2 = sat.QueryInterface(STKObjects.IAgSatellite)
else:
sat = root.GetObjectFromPath('Satellite/' + satName)
sat2 = sat.QueryInterface(STKObjects.IAgSatellite)
graphics = sat2.Graphics.Attributes.QueryInterface(
STKObjects.IAgVeGfxAttributesBasic)
graphics.Color = colorsInt[ii]
prop = sat2.SetPropagatorType(STKObjects.ePropagatorJ4Perturbation)
prop = sat2.Propagator.QueryInterface(
STKObjects.IAgVePropagatorJ4Perturbation)
prop.UseScenarioAnalysisTime = False
prop.InitialState.Epoch = root.ConversionUtility.ConvertDate(
'YYDDD', 'EpDay', str(df['epoch'].iloc[ii]))
prop.InitialState.Representation.AssignCartesian(
STKUtil.eCoordinateSystemICRF, df['x'].iloc[ii],
df['y'].iloc[ii], df['z'].iloc[ii], df['Vx'].iloc[ii],
df['Vy'].iloc[ii], df['Vz'].iloc[ii])
prop.Step = 600
prop.StopTime = 1
prop.Propagate()
else:
print('Number of satellites is too large, ' + str(len(df)) +
'. Please reduce the number of satellites to beneath ' +
str(maxSats))
def STKMagGeneration(self, nameSat, dataStepSize):
# Imports
import comtypes
from comtypes.client import GetActiveObject
# Getting Open STK Application
app = GetActiveObject("STK11.Application")
app.Visible = True
app.UserControl = True
root = app.Personality2
from comtypes.gen import STKObjects
# Getting Current STK Scenario
sc = root.CurrentScenario
sc2 = sc.QueryInterface(STKObjects.IAgScenario)
root.Rewind()
# Getting Satellite from STK
sat = sc.Children.Item(nameSat)
# Magnetic Field Data for the Satellite
rptElements = ['Time', 'x', 'y', 'z']
magfieldWMMTimeVar = sat.DataProviders.GetDataPrvTimeVarFromPath(
"Vectors(VNC)//MagField(WMM)")
magResults = magfieldWMMTimeVar.ExecElements(sc2.StartTime,
sc2.StopTime,
dataStepSize, rptElements)
#magtime=magResults.DataSets.Item(0).GetValues()
magx = magResults.DataSets.Item(1).GetValues()
magy = magResults.DataSets.Item(2).GetValues()
magz = magResults.DataSets.Item(3).GetValues()
# Exporting Magnetic Field Data to a CSV File
csvFileName = sc.InstanceName + '_MagFieldData.csv'
#rowColumnTitle = ['Mag x (nT)', 'Mag y (nT)', 'Mag z (nT)']
rowColumnTitle = ['x (nT)', 'y (nT)', 'z (nT)']
with open(csvFileName, "w", newline='') as csvfile:
filewriter = csv.writer(csvfile,
delimiter=',',
quotechar='|',
quoting=csv.QUOTE_MINIMAL)
filewriter.writerow(rowColumnTitle)
for i, value in enumerate(magx):
magxcurr = magx[i]
magycurr = magy[i]
magzcurr = magz[i]
rowcurr = [str(magxcurr), str(magycurr), str(magzcurr)]
filewriter.writerow(rowcurr)
return csvFileName
def ConnectToSTK(version=12,scenarioPath = cwd+'\\ConstellationWizardExampleScenario',scenarioName='ConstellationAnalysis'):
# Launch or connect to STK
try:
app = GetActiveObject('STK{}.Application'.format(version))
root = app.Personality2
root.Isolate()
except:
app = CreateObject('STK{}.Application'.format(version))
app.Visible = True
app.UserControl= True
root = app.Personality2
root.Isolate()
try:
root.LoadScenario(scenarioPath+'\\'+scenarioName+'.sc')
except:
root.NewScenario(scenarioName)
root.UnitPreferences.SetCurrentUnit('DateFormat','Epsec')
root.ExecuteCommand('Units_SetConnect / Date "Epsec"')
return root
def run_stk_v2(scenario_path, study_name, orbit_data, stk_data_path):
# This function opens an instance of STK, loads the desired scenario, and executes the
# connect commands written by the previous functions
from win32api import GetSystemMetrics
# from IPython.display import Image, display, SVG
import os
import comtypes
from comtypes.client import CreateObject
from comtypes.client import GetActiveObject
print('Opening STK...')
# Open new instance of STK
# app = CreateObject("STK11.Application")
# Pass open instance of STK
app = GetActiveObject('svchost.Application')
app.Visible = True
app.UserControl = True
app.Top = 0
app.Left = 0
app.Width = int(GetSystemMetrics(0) / 2)
app.Height = int(GetSystemMetrics(1) - 30)
root = app.Personality2
comtypes.client.gen_dir
os.listdir(comtypes.client.gen_dir)
from comtypes.gen import STKObjects
print('Loading scenario...')
# Load predefined scenario, which contains satellite for which the orbit is varied
# and the target for which the access time is calculated
root.LoadScenario(r'{}'.format(scenario_path))
sc = root.CurrentScenario
sc2 = sc.QueryInterface(STKObjects.IAgScenario)
# sc2.SetTimePeriod("1 Jul 2008 10:00:00", "30 Jun 2010 10:00:00")
print('Executing connect commands...')
# Open file with connect commands, and execute them sequentially
connect_command_file = 'CC_{}_OrbitStudy.txt'.format(study_name)
with open(connect_command_file, 'r') as fh:
commands = fh.readlines()
size = len(commands)
loop_start = time.time()
duration = np.zeros(size)
j = 0
for i in range(size):
time_start = time.time()
if j == 0:
print('Adjusting Satellite orbit...')
root.ExecuteCommand(commands[i])
j += 1
elif j == 1:
print('Generating SPS access report...')
if not os.path.exists('{}\DVP_{}_{}perigee{}apogee_{}meananom_access.csv'.format(stk_data_path, study_name, orbit_data[i + 1][0], orbit_data[i + 1][1], 180.0)):
root.ExecuteCommand(commands[i])
else:
print('Access report for {} x {} km orbit already exists'.format(orbit_data[i + 1][0], orbit_data[i + 1][1]))
j += 1
elif j == 2:
print('Generating SPS range report...')
if not os.path.exists('{}\DVP_{}_{}perigee{}apogee_{}meananom_range.txt'.format(stk_data_path, study_name, orbit_data[i + 1][0], orbit_data[i + 1][1], 180.0)):
root.ExecuteCommand(commands[i])
else:
print('Range report for {} x {} km orbit already exists'.format(orbit_data[i + 1][0], orbit_data[i + 1][1]))
j += 1
elif j == 3:
print('Generating SPS lighting report...')
if not os.path.exists('{}\DVP_{}_{}perigee{}apogee_{}meananom_lighting.csv'.format(stk_data_path, study_name, orbit_data[i + 1][0], orbit_data[i + 1][1], 180.0)):
root.ExecuteCommand(commands[i])
else:
print('Lighting for {} x {} km orbit already exists'.format(orbit_data[i + 1][0], orbit_data[i + 1][1]))
j = 0
time_end = time.time()
# Print progress update
print('Progress: {}%, Execution Time: {} seconds'.format(round(i * 100.0 / (size - 1), 2),
round(time_end - time_start, 5)))
duration[i] = time_end - time_start
loop_end = time.time()
print('Total time to generate data: {} minutes'.format((loop_end - loop_start) / 60.0))
print('Average command execution time: {} seconds'.format(np.mean(duration)))
def orbm_run_stk(orbm_mode, tstart, tfinal,
sc_Cd, sc_area_d, sc_Ck, sc_area_a, sc_Cr, sc_area_r,
orb_a, orb_e, orb_i, orb_R, orb_w, orb_m,
maintenance_tolerance,
maintenance_margin,
maintenance_fro,
sc_mass, isp_min, isp_max):
# The parameters below are not used, but will be set to defaults.
thr_TankPressure = 0.1 # tank pressure (Pa)
thr_TankVolume = 0.1 # tank volume (m^3)
thr_FuelDensity = 0.1 # fuel density (kg/m^3)
thr_FuelMass = 0.1 # fuel mass (kg)
thr_MaximumFuelMass = 1.0 # max fuel mass (kg)
# For thruster sizing and plotting, what range of Isp is needed?
plot_Isp_Min = isp_min # s
plot_Isp_Max = isp_max # s
# Check below if you want the STK GUI to open up too (default True)
stk_gui = True
# User, check if you are using STK10 or STK11. By default, the comtypes GUID
# is using the STK10 GUID code that allows the Astrogator wrapper to load.
# Without successful loading, the AgStkGatorLib file cannot be recognised
# and created in the comtypes gen folder, and AstroGator cannot be run.
# GUID for STK10: 90E096F9-9615-4BA8-BA23-680F8D236959
# GUID for STK11: 090D317C-31A7-4AF7-89CD-25FE18F4017C
# Replace below where necessary.
if orbm_mode == 2:
comtypes.client.GetModule((comtypes.GUID("{90E096F9-9615-4BA8-BA23-680F8D236959}"),1,0))
elif orbm_mode == 3:
comtypes.client.GetModule((comtypes.GUID("{090D317C-31A7-4AF7-89CD-25FE18F4017C}"),1,0))
# As a rule of thumb, frozen repeat orbit maintenance generally takes about
# 02x as much Delta-V per thrust as regular altitude maintenance due to the
# need for the thrusts to bring the SC above the reference to maintain the
# eastward-to-westward ground track shift.
""" #######################################################################
TO THE USER: DO NOT CHANGE ANY OF THE CODE BELOW, AS THE CODE IS HIGHLY
DEPENDENT ON INTERFACING WITH THE RIGHT POINTERS TO THE RIGHT CLASSES.
EDIT THE CODE BELOW, AT YOUR RISK, AND ONLY IF YOU KNOW WHAT YOU ARE DOING!
####################################################################### """
# The program will now compute the total scenario time in seconds.
months_dict = {'Jan':1, 'Feb':2, 'Mar':3, 'Apr':4,
'May':5, 'Jun':6, 'Jul':7, 'Aug':8,
'Sep':9, 'Oct':10,'Nov':11,'Dec':12}
# Read the start epoch string as a datetime object
tstart_dt = datetime.datetime(int(tstart[6:10]),
int(months_dict[tstart[2:5]]),
int(tstart[0]),
int(tstart[11:13]),
int(tstart[14:16]),
int(tstart[17:19]))
# Read the final epoch string as a datetime object
tfinal_dt = datetime.datetime(int(tfinal[6:10]),
int(months_dict[tfinal[2:5]]),
int(tfinal[0]),
int(tfinal[11:13]),
int(tfinal[14:16]),
int(tfinal[17:19]))
# Read the time delta between start and final as a datetime-timedelta object
tdelta_dt = tfinal_dt - tstart_dt
# Compute the total scenario time in seconds
tdelta = (tdelta_dt.days*86400) + tdelta_dt.seconds # int
############################################################################
############################################################################
# The program will now compute what is the desired Delta-V per thrust
# using a first order Taylor expansion of the Vis-Visa equation.
GM = 398.6004415e12 # gravity constant x Earth mass (m**3/s**2)
velocity = ((398.6004415e12)/(orb_a*1000))**0.5
delta_v = (0.25*velocity*maintenance_tolerance)/(orb_a * 1000) # km/s
############################################################################
############################################################################
# First, try to close any existing STK applications.
print("Closing any pre-existing STK applications... \n")
print("Check if you need to save your existing scenarios? (Open the UI) \n")
# Check if the user is running in STK 10
if orbm_mode == 2:
try:
uiApp = GetActiveObject('STK10.Application')
uiApp.Quit()
except:
pass
# Check if the user is running in STK 11
elif orbm_mode == 3:
try:
uiApp = GetActiveObject('STK11.Application')
uiApp.Quit()
except:
pass
############################################################################
############################################################################
# Start STK10 Application
print("Creating a new STK application. \n")
if orbm_mode == 2:
uiApp = CreateObject("STK10.Application")
elif orbm_mode == 3:
uiApp = CreateObject("STK11.Application")
uiApp.Visible = stk_gui
uiApp.UserControl = stk_gui
stkRoot = uiApp.Personality2
from comtypes.gen import STKObjects
from comtypes.gen import STKUtil
from comtypes.gen import AgStkGatorLib
from comtypes.client import gen_dir
print("Creating the STK scenario object. \n")
stkRoot.NewScenario("Orbit_Maintenance")
# Get a reference to the scenario object (null if no scenario loaded)
scenario = stkRoot.CurrentScenario
scenario2 = scenario.QueryInterface(STKObjects.IAgScenario)
# Set the time period for the scenario.
scenario2.SetTimePeriod( tstart, tfinal )
#Reset STK to the new start time
stkRoot.Rewind()
############################################################################
############################################################################
# This segment will create the life-time test satellite and propagate it.
print("Creating the satellite (life-time) object. \n")
sat = scenario.Children.New(STKObjects.eSatellite, 'Lifetime')
sat2 = sat.QueryInterface(STKObjects.IAgSatellite)
# You can gain access to the initial orbit state through the satellite's
# propagator object. In the block below, get a pointer to the interface
# IAgVePropagtorTwoBody. Then use that pointer to convert the orbit state
# into the classical representation, and obtain a pointer to the interface
# IAgOrbitStateClassical.
sat2.SetPropagatorType(STKObjects.ePropagatorTwoBody)
sat2prop = sat2.Propagator.QueryInterface(STKObjects.IAgVePropagatorTwoBody)
sat2init = sat2prop.InitialState.Representation
sat2state = sat2init.ConvertTo(STKUtil.eOrbitStateClassical)
sat2state2 = sat2state.QueryInterface(STKObjects.IAgOrbitStateClassical)
# With the IAgOrbitStateClassical interface you will be able to set the values
# of the desired orbital elements.
# The SizeShape property only provides a pointer to the IAgClassicalSizeShape
# interface, which does not immediately provide access to the semimajor axis
# or eccentricity values. To access those, you "cast" to the interface
# IAgClassicalSizeShapeSemimajorAxis provided by the object
# AgClassicalSizeShapeSemimajorAxis.
sat2state2.SizeShapeType = STKObjects.eSizeShapeSemimajorAxis
sat2state2.SizeShape.QueryInterface(STKObjects.IAgClassicalSizeShapeSemimajorAxis).SemiMajorAxis = orb_a
sat2state2.SizeShape.QueryInterface(STKObjects.IAgClassicalSizeShapeSemimajorAxis).Eccentricity = orb_e
# Set the inclination and argument of perigee
sat2state2.Orientation.Inclination = orb_i
sat2state2.Orientation.ArgOfPerigee = orb_w
# For the RAAN, much as in the case of the semi-major axis and eccentricity,
# you must first specify the AscNodeType, then provide the value for the
# AscNode through the approriate interface.
sat2state2.Orientation.AscNodeType = STKObjects.eAscNodeRAAN
sat2state2.Orientation.AscNode.QueryInterface(STKObjects.IAgOrientationAscNodeRAAN).Value = orb_R
# Set the mean anomaly
sat2state2.LocationType = STKObjects.eLocationMeanAnomaly
sat2state2.Location.QueryInterface(STKObjects.IAgClassicalLocationMeanAnomaly).Value = orb_m
# Propagate the orbit
sat2prop.InitialState.Representation.Assign(sat2state2)
sat2prop.Propagate()
# Prepare the STK Connect Command strings for the life-time computation.
setLifeTime = 'SetLifetime */Satellite/Lifetime '
setLifeTimeDragCoeff = setLifeTime + 'DragCoeff ' + str(sc_Cd)
setLifeTimeReflectCoeff = setLifeTime + 'ReflectCoeff ' + str(sc_Cr)
setLifeTimeDragArea = setLifeTime + 'DragArea ' + str(sc_area_d)
setLifeTimeSunArea = setLifeTime + 'SunArea ' + str(sc_area_r)
setLifeTimeMass = setLifeTime + 'Mass ' + str(sc_mass)
setLifeTimeLimitType = setLifeTime + 'LimitType Duration'
setLifeTimeDurationLimit = setLifeTime + 'DurationLimit 3650'
setLifeTimeDensityModel = setLifeTime + 'DensityModel Jacchia70Lifetime'
# Execute the STK Connect Command strings for life-time computation settings.
stkRoot.ExecuteCommand( setLifeTimeDragCoeff )
stkRoot.ExecuteCommand( setLifeTimeReflectCoeff )
stkRoot.ExecuteCommand( setLifeTimeDragArea )
stkRoot.ExecuteCommand( setLifeTimeSunArea )
stkRoot.ExecuteCommand( setLifeTimeMass )
stkRoot.ExecuteCommand( setLifeTimeLimitType )
stkRoot.ExecuteCommand( setLifeTimeDurationLimit )
stkRoot.ExecuteCommand( setLifeTimeDensityModel )
# Execute the STK Connect Command strings for life-time computation.
resultsLifeTime = stkRoot.ExecuteCommand('Lifetime */Satellite/Lifetime')
lifetime_str = resultsLifeTime.Item(0) + " \n"
print(lifetime_str)
# Finally, remove the test satellite used to compute the life time.
sat.Unload()
############################################################################
############################################################################
# This segment will create the test satellite and propagate it.
print("Creating the satellite object with orbit maintenance. \n")
satellite = scenario.Children.New(STKObjects.eSatellite, "Satellite")
#print("Querying the IAgStkObject interface of the satellite. \n")
satellite2 = satellite.QueryInterface(STKObjects.IAgSatellite)
satellite2.SetPropagatorType(STKObjects.ePropagatorAstrogator) # Astrogator
# For AstroGator, we need to access a special class called the IAgVADriverMCS.
# Acquire an interface to the DriverMCS interface of Astrogator through the
# propagator object. This is the central interface from which to control the
# satellite via Astrogator.
print("Creating the MCS interface object to Astrogator. \n")
astg = satellite2.Propagator.QueryInterface(AgStkGatorLib.IAgVADriverMCS)
mcs = astg.MainSequence
mcs.RemoveAll() # Clear all sequences
# Next, we set the initial states of the satellite.
# The respective arguments are the segment type, name of segment, and the
# name of the segment where the segment of interest is inserted before.
mcs.Insert(AgStkGatorLib.eVASegmentStateInitial,'Initial State','-')
# Get the initial state and query its interface
mcs_init = mcs.Item('Initial State')
mcs_init2 = mcs_init.QueryInterface(AgStkGatorLib.IAgVAMCSInitialState)
# Set the orbit elements, get the elements and query its interface
mcs_init2.SetElementType(1) # Keplerian
mcs_elem = mcs_init2.Element
mcs_init2.OrbitEpoch = tstart
mcs_elem2 = mcs_elem.QueryInterface(AgStkGatorLib.IAgVAElementKeplerian)
print("Creating and setting the orbit elements. \n")
# Set the orbit elements
mcs_elem2.ArgOfPeriapsis = orb_w
mcs_elem2.Eccentricity = orb_e
mcs_elem2.Inclination = orb_i
mcs_elem2.RAAN = orb_R
mcs_elem2.SemiMajorAxis = orb_a
mcs_elem2.TrueAnomaly = orb_m
print("Creating and setting the spacecraft parameters. \n")
# Query the interface that allows setting of the spacecraft parameters
mcs_scparams = mcs_init2.SpacecraftParameters
mcs_scparams2 = mcs_scparams.QueryInterface(AgStkGatorLib.IAgVASpacecraftParameters)
# Set the spacecraft parameters
mcs_scparams2.Cd = sc_Cd
mcs_scparams2.Ck = sc_Ck
mcs_scparams2.Cr = sc_Cr
mcs_scparams2.DryMass = sc_mass
mcs_scparams2.DragArea = sc_area_d
mcs_scparams2.RadiationPressureArea = sc_area_r
mcs_scparams2.SolarRadiationPressureArea = sc_area_a
print("Creating and setting spacecraft fuel tank parameters. \n")
# Query the interface that allows setting of the fuel tank parameters
mcs_fueltank = mcs_init2.FuelTank
mcs_fueltank2 = mcs_fueltank.QueryInterface(AgStkGatorLib.IAgVAFuelTank)
# Set the fuel tank parameters
mcs_fueltank2.TankPressure = thr_TankPressure
mcs_fueltank2.TankVolume = thr_TankVolume
mcs_fueltank2.FuelDensity = thr_FuelDensity
mcs_fueltank2.FuelMass = thr_FuelMass
mcs_fueltank2.MaximumFuelMass = thr_MaximumFuelMass
# Now we are going to set the automatic sequence conditions for station-keeping
print("Creating the Automatic Sequence object. \n")
acs = astg.AutoSequence
acs.Add("Maintain")
acs_main = acs.Item("Maintain")
acs_main2 = acs_main.QueryInterface(AgStkGatorLib.IAgVAAutomaticSequence)
acs_seq = acs_main2.Sequence
# In the ACS, we add the propagate segment, change the propagate segment to
# a UserSelect option, change the sequence to 'Maintain', and the stopping
# condition of the UserSelect option should use a UserCalcObject that is the
# Kozai-Iszak Mean SMA of the orbit. If the LEO crosses the mean SMA threshold
# in the MCS, it will prompt the trigger of the ACS.
# If the user is not maintaining an orbit for a frozen repeat, a single
# thrust at the apogee should be good enough to raise its orbit.
if maintenance_fro == False:
# Begin inserting the propagation with an apogee thrust.
Prop2Apo = acs_seq.Insert(AgStkGatorLib.eVASegmentTypePropagate,'Prop2Apo','-')
ThrustApo = acs_seq.Insert(AgStkGatorLib.eVASegmentTypeManeuver,'ThrustApo','-')
# Now we query the interfaces for all of them.
Prop2Apo2 = Prop2Apo.QueryInterface(AgStkGatorLib.IAgVAMCSPropagate)
ThrustApo2 = ThrustApo.QueryInterface(AgStkGatorLib.IAgVAMCSManeuver)
# We set the Prop2Apo segment to perform an orbit propagation to the apogee.
Prop2Apo2_SC = Prop2Apo2.StoppingConditions
Prop2Apo2_SC.Add('Apoapsis')
Prop2Apo2_SC.Cut('Duration') # Not sure why remove doesn't work
# Then, we set the thruster fire levels at the apogee using a fixed thrust.
ThrustApo2.Maneuver.SetAttitudeControlType(AgStkGatorLib.eVAAttitudeControlThrustVector)
ThrustApo2_Vector = ThrustApo2.Maneuver.AttitudeControl.QueryInterface(AgStkGatorLib.IAgVAAttitudeControlImpulsiveThrustVector)
ThrustApo2_Vector.DeltaVVector.AssignCartesian(delta_v, 0.0, 0.0);
# If the user is maintaining an orbit for a frozen repeat, a second perigee
# thrust is needed in order to minimise disrupting the osculating eccentricity.
if maintenance_fro == True:
# Insert the propagation to perigee with the perigee thrust.
Prop2Peri = acs_seq.Insert(AgStkGatorLib.eVASegmentTypePropagate,'Prop2Peri','-')
ThrustPeri = acs_seq.Insert(AgStkGatorLib.eVASegmentTypeManeuver,'ThrustPeri','-')
# Now we query the interfaces for all of them.
Prop2Peri2 = Prop2Peri.QueryInterface(AgStkGatorLib.IAgVAMCSPropagate)
ThrustPeri2 = ThrustPeri.QueryInterface(AgStkGatorLib.IAgVAMCSManeuver)
# We set the Prop2Peri segment to perform an orbit propagation to the perigee.
Prop2Peri2_SC = Prop2Peri2.StoppingConditions
Prop2Peri2_SC.Add('Periapsis')
Prop2Peri2_SC.Cut('Duration') # Not sure why remove doesn't work
# Then, we set the thruster fire levels at the perigee using a fixed thrust.
ThrustPeri2.Maneuver.SetAttitudeControlType(AgStkGatorLib.eVAAttitudeControlThrustVector)
ThrustPeri2_Vector = ThrustPeri2.Maneuver.AttitudeControl.QueryInterface(AgStkGatorLib.IAgVAAttitudeControlImpulsiveThrustVector)
ThrustPeri2_Vector.DeltaVVector.AssignCartesian(delta_v, 0.0, 0.0);
# Begin inserting the propagation with an apogee thrust.
Prop2Apo = acs_seq.Insert(AgStkGatorLib.eVASegmentTypePropagate,'Prop2Apo','-')
ThrustApo = acs_seq.Insert(AgStkGatorLib.eVASegmentTypeManeuver,'ThrustApo','-')
# Now we query the interfaces for all of them.
Prop2Apo2 = Prop2Apo.QueryInterface(AgStkGatorLib.IAgVAMCSPropagate)
ThrustApo2 = ThrustApo.QueryInterface(AgStkGatorLib.IAgVAMCSManeuver)
# We set the Prop2Apo segment to perform an orbit propagation to the apogee.
Prop2Apo2_SC = Prop2Apo2.StoppingConditions
Prop2Apo2_SC.Add('Apoapsis')
Prop2Apo2_SC.Cut('Duration') # Not sure why remove doesn't work
# Then, we set the thruster fire levels at the apogee using a fixed thrust.
ThrustApo2.Maneuver.SetAttitudeControlType(AgStkGatorLib.eVAAttitudeControlThrustVector)
ThrustApo2_Vector = ThrustApo2.Maneuver.AttitudeControl.QueryInterface(AgStkGatorLib.IAgVAAttitudeControlImpulsiveThrustVector)
ThrustApo2_Vector.DeltaVVector.AssignCartesian(delta_v, 0.0, 0.0);
# At this stage, the automatic sequence oject has been successfully built.
# We just need to know how to call the automatic sequence whenever the stop
# conditions have been met (i.e. when the satellite crosses the threshold)
print("Setting the MCS segments and piecing everything together... \n")
# For the MCS, it needs only a propagate segment, with a duration = tdelta.
PropMain = mcs.Insert(AgStkGatorLib.eVASegmentTypePropagate,'PropMain','-')
PropMain2 = PropMain.QueryInterface(AgStkGatorLib.IAgVAMCSPropagate)
PropMain2_StopCon_Dura = PropMain2.StoppingConditions.Item(0)
PropMain2_StopCon_Dura_Prop2 = PropMain2_StopCon_Dura.Properties.QueryInterface(AgStkGatorLib.IAgVAStoppingCondition)
PropMain2_StopCon_Dura_Prop2.Trip = tdelta
# We will add the mean semi-major axis as a stopping condition.
PropMain2_StopCon_SMA = PropMain2.StoppingConditions.Add('UserSelect')
PropMain2_StopCon_SMA_Properties = PropMain2_StopCon_SMA.Properties
PropMain2_StopCon_SMA_Properties2 = PropMain2_StopCon_SMA_Properties.QueryInterface(AgStkGatorLib.IAgVAStoppingCondition)
PropMain2_StopCon_SMA_Properties2.UserCalcObjectName = 'Mean Semimajor Axis'
PropMain2_StopCon_SMA_Properties2.Trip = orb_a - maintenance_tolerance
PropMain2_StopCon_SMA_Properties2.RepeatCount = 1
PropMain2_StopCon_SMA_Properties2.Sequence = 'Maintain'
# AGIers say: You can set multiple stopping conditions for a propagate
# segment. Astrogator stops propagating the satellite when it meets one of
# the stopping conditions.
# Run the MCS
print("Running the mission control sequence now (this might take long)... \n")
astg.RunMCS()
print("Mission successfully ran! Now extracting orbital data. \n")
# Now, we need to start extracting relevant data. The data we will need are:
# 1 - Kozai-Iszak mean semimajor axes values.
sat_epochs = []
sat_mean_sma = []
# 2 - Altitude values.
sat_altitude = []
# Get the Kozai-Izsak Mean data providers pointer and interface to it.
sat_ki_mean = satellite.DataProviders.Item("Kozai-Izsak Mean")
sat_ki_mean2 = sat_ki_mean.QueryInterface(STKObjects.IAgDataProviderGroup)
sat_ki_mean2_ICRF = sat_ki_mean2.Group.Item("ICRF")
sat_ki_mean2_ICRF2 = sat_ki_mean2_ICRF.QueryInterface(STKObjects.IAgDataPrvTimeVar)
sat_ki_mean2_ICRF2_Data = sat_ki_mean2_ICRF2.Exec(scenario2.StartTime, scenario2.StopTime, 3600)
sat_ki_mean_sma = np.array(sat_ki_mean2_ICRF2_Data.DataSets.ToArray())
time_error_flag = False
# Extract the Kozai-Izsak Mean semi major axis
for epoch in range(0,len(sat_ki_mean_sma)):
epochstr = sat_ki_mean_sma[epoch][0] # Read raw epoch string
epochlis = epochstr.split()
mean_sma = sat_ki_mean_sma[epoch][1] # Read raw mean SMA string
yy = int(epochlis[2])
mm = int(months_dict[epochlis[1]])
dd = int(epochlis[0])
hh = int(epochlis[3][0:2])
mn = int(epochlis[3][3:5])
ss = int(epochlis[3][6:8])
# If STK outputs end-of-denominator numbers for some weird reason.
if ss == 60:
ss = 0
time_error_flag = True
epoch_dt = datetime.datetime(yy,mm,dd,hh,mn,ss)
if time_error_flag == True:
epoch_dt = epoch_dt + datetime.timedelta(seconds=60)
time_error_flag = False
sat_epochs.append(epoch_dt)
sat_mean_sma.append(float(mean_sma))
# Get the altitude values from the LLA State-Fixed pointer and interface to it.
sat_alt = satellite.DataProviders.Item("LLA State")
sat_alt2 = sat_alt.QueryInterface(STKObjects.IAgDataProviderGroup)
sat_alt2_Fixed = sat_alt2.Group.Item("Fixed")
sat_alt2_Fixed2 = sat_alt2_Fixed.QueryInterface(STKObjects.IAgDataPrvTimeVar)
sat_alt2_Fixed2_Data = sat_alt2_Fixed2.Exec(scenario2.StartTime, scenario2.StopTime, 3600)
sat_alt_data_final = np.array(sat_alt2_Fixed2_Data.DataSets.ToArray())
if len(sat_alt_data_final) != len(sat_ki_mean_sma):
print("Warning! Something went wrong with the data provider parsing.")
print("Length of altitude and SMA arrays do not match! Code broken? \n")
# Extract the altitude values
for epoch in range(0,len(sat_alt_data_final)):
altitude = sat_alt_data_final[epoch][3] # Read raw mean SMA string
sat_altitude.append(float(altitude))
# Get the maneuver summary data providers pointer and interface to it.
sat_deltaV = satellite.DataProviders.Item("Maneuver Summary")
sat_deltaV2 = sat_deltaV.QueryInterface(STKObjects.IAgDataPrvInterval)
sat_deltaV2_Data = sat_deltaV2.Exec(scenario2.StartTime, scenario2.StopTime)
sat_deltaV2_Array = np.array(sat_deltaV2_Data.DataSets.ToArray())
# Extract the Delta-V values
deltaV_file = open("output_manoeuvre_stk.txt",'w')
for thrust in sat_deltaV2_Array:
thrust_str = thrust[0] + ' '
thrust_str += thrust[1] + ' '
thrust_str += thrust[2] + ' '
thrust_str += thrust[5] + ' \n'
deltaV_file.write(thrust_str)
deltaV_file.close()
# Compute the total Delta-V and the total impulse needed.
total_deltaV = len(sat_deltaV2_Array) * delta_v
# Total impulse, inclusive of the margin of safety
total_impulse = total_deltaV * 1000 * sc_mass * maintenance_margin
Isp = np.linspace(plot_Isp_Min, plot_Isp_Max, 500) # Isp axis, in (s)
Mf = total_impulse / (Isp*9.81)
# Construct the summary information string objects
impulse_str = "The total impulse needed: "
impulse_str = impulse_str + str(total_impulse) + " \n"
deltaV_str = "The total Delta-V (m/s) needed is "
deltaV_str = deltaV_str + str(total_deltaV * 1000) + " \n"
# Log the summary information
summary_file = open("output_summary_stk.txt",'w')
summary_file.write(lifetime_str)
summary_file.write(impulse_str)
summary_file.write(deltaV_str)
summary_file.close()
# Print the impulse and Delta-V requirements statement.
print(impulse_str)
print(deltaV_str)
# Plotting of altitudes
plt.figure(1)
plt.title("Plot of Satellite Altitude (km) Against Date-Time")
plt.ylabel('Altitude (km)')
plt.xlabel('Date-Time')
plt.scatter(sat_epochs,sat_altitude,s=4,alpha=0.3)
plt.grid()
# Plotting of Kozai-Izsak mean semi-major axes
plt.figure(2)
plt.title("Plot of Kozai-Izsak Mean Semimajor Axis (km) Against Date-Time")
plt.ylabel('Kozai-Izsak Mean Semimajor Axis (km)')
plt.xlabel('Date-Time')
plt.plot(sat_epochs,sat_mean_sma)
plt.grid()
# Thruster sizing profile of Isp Against Mass
plt.figure(3)
plt.title("Thruster Profiling for Feasible ISPs (s) Against Fuel Mass (kg)")
plt.ylabel('Mass of Fuel Required (kg)')
plt.xlabel('Specific Impulse (s)')
plt.plot(Isp, Mf)
plt.grid()
""" #########################################################################
Notes: This part of the code reads the text file of all the shortlisted,
thrusters and then plots them along the Isp-to-fuel-mass sizing chart.
######################################################################### """
# Now we compare the mission propulsion requirements against thrusters.
try:
thr_file = open("thruster_shortlist.txt","r")
except:
# Otherwise, generate the file
thr_file = open("thruster_shortlist.txt","w")
thr_file.write("COMPANY ")
thr_file.write("MODEL ")
thr_file.write("ISP_S ")
thr_file.write("FUEL_MASS_KG ")
thr_file.write("THRUST_N ")
thr_file.write("END \n")
thr_file.write("ALIENA ")
thr_file.write("MUSIC ")
thr_file.write("1000 ")
thr_file.write("3.000 ")
thr_file.write("0.004 ")
thr_file.write("END \n")
thr_file.close()
# Now, try to open the file
thr_file = open("thruster_shortlist.txt","r")
thr_compn = []
thr_model = []
thr_isp_s = []
thr_fuelm = []
thr_force = []
for line in thr_file:
line_split = line.split()
if line_split[0] != "COMPANY":
thr_compn.append(str(line_split[0]))
thr_model.append(str(line_split[1]))
thr_isp_s.append(float(line_split[2]))
thr_fuelm.append(float(line_split[3]))
thr_force.append(str(line_split[4]))
thr_file.close()
# plot_Isp_Min = 200.0 # N s
# plot_Isp_Max = 1250.0 # N s
bwidth = (plot_Isp_Max - plot_Isp_Min)/50
barchart = plt.bar(thr_isp_s, thr_fuelm, width = bwidth, color='green')
# Then, we label each thruster accordingly.
barcount = 0
for rect in barchart:
height = rect.get_height()
bartext = thr_compn[barcount] + '\n'
bartext = bartext + thr_model[barcount] + '\n'
bartext = bartext + thr_force[barcount] + 'N'
plt.text(rect.get_x() + rect.get_width()/2.0,
rect.get_height(),
bartext,
ha='center', va='bottom')
barcount += 1
return None
# Create times to set the scenario time period which includes now
strs = nowSTK.split(' ')
start = strs[0] + ' ' + strs[1] + ' ' + strs[2] + ' 00:00:00.000'
stop = strs[0] + ' ' + strs[1] + ' ' + strs[2] + ' 23:59:59.999'
print('Scenario Start = ' + start)
print('Scenario Stop = ' + stop)
# In[4]:
# Launch or connect to STK
try:
app = GetActiveObject('STK12.Application')
root = app.Personality2
app.Visible = True
app.UserControl = True
except:
app = CreateObject('STK12.Application')
app.Visible = True
app.UserControl = True
root = app.Personality2
sc = root.NewScenario('DeckAccessVis')
# Set the scenario time period
sc = root.CurrentScenario
sc2 = sc.QueryInterface(STKObjects.IAgScenario)
sc2.StopTime = stop
sc2.StartTime = start
sc2.Animation.AnimStepValue = 30 # Set the animation time to be the same as the MTO data resolution
# Turn on Antialiasing for better visualization. Options are: Off,FXAA,2,3,4
def Annotations(STKVersion, ObjectName, ObjectType, accuracy, Events,
EventNames, EventColors):
numEvents = len(Events)
from comtypes.client import CreateObject
from comtypes.client import GetActiveObject
uiApplication = GetActiveObject("STK{}.Application".format(STKVersion))
root = uiApplication.Personality2
from comtypes.gen import STKObjects
from comtypes.gen import STKUtil
scenario = root.CurrentScenario
uiApplication.Visible = True
uiApplication.UserControl = True
scenarioObj = scenario.QueryInterface(STKObjects.IAgScenario)
# This is specifically for the object type Launch Vehicle, but this can be changed to the
# desired object
Object = scenario.Children.Item(ObjectName)
ObjectType = "STKObjects.IAg{}".format(ObjectType)
ObjectObj = Object.QueryInterface(eval(ObjectType))
# Retrieve lat/lon/alt of object at desired times
LLA = Object.DataProviders("LLA State")
LLA2 = LLA.QueryInterface(STKObjects.IAgDataProviderGroup)
LLAFixed = LLA2.Group.Item("Fixed")
LLATV = LLAFixed.QueryInterface(STKObjects.IAgDataPrvTimeVar)
LLAAlmost = LLATV.Exec(scenarioObj.StartTime, scenarioObj.StopTime,
accuracy)
Times = list(LLAAlmost.DataSets.Item(0).GetValues())
Lon = list(LLAAlmost.DataSets.Item(1).GetValues())
Lat = list(LLAAlmost.DataSets.Item(2).GetValues())
Alt = list(LLAAlmost.DataSets.Item(3).GetValues())
# clear old annotations
root.ExecuteCommand('MapAnnotation * Delete All')
root.ExecuteCommand('VO * Annotation Delete AllAnnotations Text')
# for every event, grab lat, lon, alt and put annotation in STK
for i in range(numEvents):
# grab index that corresponds to time of event
ind = Times.index(Events[i])
Latitude = str(Lat[ind])
Longitude = str(Lon[ind])
Altitude = str(Alt[ind])
# put annotation in 2D graphics
cmd = ("MapAnnotation * Add " + str(i + 1) + ' Text String "' +
EventNames[i] + '" Color ' + EventColors[i] + ' Position ' +
Latitude + ' ' + Longitude)
root.ExecuteCommand(cmd)
# put annotation in 3D graphics
cmd2 = ("VO * Annotation Add " + str(i + 1) + ' Text String "' +
EventNames[i] + '" Coord LatLon Position ' + Latitude + ' ' +
Longitude + Altitude + ' Color ' + EventColors[i])
root.ExecuteCommand(cmd2)