realoot 1.0.2

Solve the averaged low-thrust optimal control transfer problem

README

Preambule

The application solves the averaged optimal minimum time orbit transfer problem. It is initially inspired by [MIPELEC] that uses the averaged optimal control formulation. This application however includes important upgrade, such as:

• different terminal conditions
• inclusion of zonal gravitational field perturbation to model secular evolution of node and apoapsis lines, around an oblate body.

IMPORTANT WARNINGS

1. The optimal control is the solution of the averaged optimal control problem.
   • It cannot be used as such for high fidelity propagation,
   • It cannot currently be used for rendezvous problems (e.g. interplanetary)
2. The solution starts diverging from the non-averaged optimal control problem solution for very large thrust accelerations.

Running under python

Installation from repository

pip install realoot

The module works with Python 3.

Installation from sources

Please follow the instructions in COMPILE.

Example Usage

Import

	import realoot.main as lt

Then either, as for the application, open a script file with

	problemDefinition, problemContext = lt.readXml("examples/ex2.xml")
	lt.solve(problemDefinition, problemContext, problemSolution, True)

Or define manually your problem filling the structure

	problemContext = lt.LtProblemContext()
	problemDefinition = lt.LtProblemDefinition()

Then call

	lt.solve(problemDefinition, problemContext, problemSolution, True)

Please see the examples for details.

You will need matplotlib to run the examples.

Credits

• MIPELEC
• An averaging optimal control tool for low thrust minimum-time transfers