pysamss 0.0.2

Python Space Asset Management and Simulation System

pySAMSS

Python Space Asset Management and Simulation System

A Python package for managing and simulating assets in Space.

Introduction

pySAMSS provides a full 6 degree of freedom state space model representation of CelestialBody and Vessel objects. Using a numerical integration scheme (i.e. Euler or RK4) the future state of CelestialBody and Vessel objects can be found explicitly where:

state0 = np.array([u, v, w, x, y, z, phi_d, theta_d, psi_d, qw, qx, qy, qz]) # State vector

U = np.array([Fx, Fy, Fz, Mx, My, Mz]) # Input vector

A = np.array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.5 * state0[6], -0.5 * state0[7], -0.5 * state0[8]],
              [0, 0, 0, 0, 0, 0, 0, 0, 0, 0.5 * state0[6], 0, 0.5 * state0[8], -0.5 * state0[7]],
              [0, 0, 0, 0, 0, 0, 0, 0, 0, 0.5 * state0[7], -0.5 * state0[8], 0, 0.5 * state0[6]],
              [0, 0, 0, 0, 0, 0, 0, 0, 0, 0.5 * state0[8], 0.5 * state0[7], -0.5 * state0[6], 0]]) # System matrix

B = np.array([[1/m, 0, 0, 0, 0, 0],
              [0, 1/m, 0, 0, 0, 0],
              [0, 0, 1/m, 0, 0, 0],
              [0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0],
              [0, 0, 0, Ii[0,0], Ii[0,1], Ii[0,2]],
              [0, 0, 0, Ii[1,0], Ii[1,1], Ii[1,2]],
              [0, 0, 0, Ii[2,0], Ii[2,1], Ii[2,2]],
              [0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0]]) # Control matrix. Note: m = mass, Ii = inverse inertia matrix

state_d = np.dot(A, state0) + np.dot(B, U) # State derivative vector [u_d, v_d, w_d, x_d, y_d, z_d, phi_dd, theta_dd, psi_dd, qw_d, qx_d, qy_d, qz_d]

Installation

Install latest version on pip using:

pip install pysamss

Alternatively, to install the latest development version of pySAMSS first make sure you have git installed, see here, then clone the repository:

git clone https://github.com/c-bruce/pysamss.git

Next, build the .tar.gz distributable:

python setup.py sdist

Finally, cd into the ./dist/ directory and install using pip:

pip install pysamss-0.0.1.tar.gz

Using pySAMSS

Begin by creating a System instance and add CelestialBody and Vessel objects to the current Timestep:

# Create System instance
system = pysamss.System('EarthMoonISS')

# Add CelestialBody objects to system
system.current.addCelestialBody(pysamss.CelestialBody('Earth', 5.972e24, 6.371e6))
system.current.addCelestialBody(pysamss.CelestialBody('Moon', 7.348e22, 1.737e6, parent_name='Earth'))

# Add Vessel objects to system
system.current.addVessel(pysamss.Vessel('ISS', [pysamss.Stage(419725, 1, 10, np.array([0, 0, 0]))], parent_name='Earth'))

Define and set initial conditions for CelestialBody objects. This can be done convieniently using the jplephem package which can load and use ephemeris from NASA's Jet Propulsion Laboratory:

time = system.current.getJulianDate()
kernel = SPK.open('de430.bsp')
# Earth
earth_pos, earth_vel = kernel[3,399].compute_and_differentiate(time)
earth_pos *= 1000 # Convert from km -> m
earth_vel /= 86.4 # Convert from km/day -> m/s
system.current.celestial_bodies['Earth'].setPosition(earth_pos)
system.current.celestial_bodies['Earth'].setVelocity(earth_vel)
# Moon
moon_pos, moon_vel = kernel[3,301].compute_and_differentiate(time)
moon_pos *= 1000 # Convert from km -> m
moon_vel /= 86.4 # Convert from km/day -> m/s
system.current.celestial_bodies['Moon'].setPosition(moon_pos)
system.current.celestial_bodies['Moon'].setVelocity(moon_vel)

Define and set initial conditions for Vessel objects. This can be done convieniently using the spk4 package which takes Two Line Element (TLE) data from CelesTrak and returns position and velocity vectors relative to the Earth-centered inertial coordinate system:

# Get TLE data from CelesTrak
http = urllib3.PoolManager()
tle = http.request('GET', 'https://www.celestrak.com/NORAD/elements/stations.txt')
tle = tle.data.decode('utf-8').strip().split('\r\n') # Gets full TLE's for constelation into a list
# ISS
time = np.modf(time) # Split Julian date into integer and decimal for spg4 library
iss_tle = tle[0:3]
iss = Satrec.twoline2rv(iss_tle[1], iss_tle[2])
e, iss_pos, iss_vel = iss.sgp4(time[1], time[0])
iss_pos = np.array(iss_pos) * 1000
iss_vel = np.array(iss_vel) * 1000
system.current.vessels['ISS'].setPosition(iss_pos, local=True)
system.current.vessels['ISS'].setVelocity(iss_vel, local=True)

Set system timestep, end time, save interval and run the simulation:

# Simulate system
system.setDt(0.1)
system.setEndTime(5561.0)
system.setSaveInterval(10)
system.simulateSystem()

All simulation data is written out to *.h5 files saved in the *_data directory. Once a simulation is complete this data can be read and post processed. pySAMSS comes with an interactive widget, based on mayavi, for visually post processing simulation data:

# Load system data
system.load('EarthMoonISS.psm')

# Get data
iss_pos = system.timestep[100].vessels['ISS'].getPosition()

# Visual post processing
fig = pysamss.MainWidget()
fig.loadSystem(system)
fig.showMaximized()
mlab.show()

See the examples directory for more pySAMSS examples.

Notes:

• The System class currently only supports a gravity as a force/torque source. See "Future Developments" for information on how this will change in the future.

• CelestialBody and Vessel objects can be used and simulated independently. Falcon9_example.py shows an example of how this can be achieved - in this example, a Vessel "falcon9", has two force/torque sources - gravity and thrust. The Vessels orientation over time is controlled using a pitch PID controller. A disadvantage of this approach is that the user is required to manually set up all reference frames and relationships between objects - this is usually automatically handled by the System and Timestep classes.

Limitations

pySAMSS is currently in an early stage of development and as such there are a number of limitations, such as:

• Performance (pySAMSS is currently not optimized for speed)
• System class only includes gravity force/torque source
• No aerodynamic force/torque source
• Not able to use controllers inside System class

Future Developments

In no particular order here is a list of some planned future developments:

• GroundStation class (to be able to do coverage analysis etc.)
• Maneuver class (for maneuver/mission planning)
• FlightProgram class (to support a series of Maneuvers for a given Vessel similar to Falcon9_example.py)
• Aerodynamics force/torque source
• Performance optimization
• Support for advanced gravity models
• Automatically define CelestialBody orientations at a given datetime (i.e. due to rotation speed)
• Update parent CelestialBody depending on current sphere of influence