### Low thrust trajectory optimization

Posted:

**Thu Jul 29, 2010 2:45 pm**Here is a preliminary presentation of the approach for solving low-thrust trajectory problem under GMAT.

The method used for formulating the optimizationn problem is based on pseudospectral method. The objective function is always the mass (minimisation).

The code is full functional, although only rendezvous terminal constraints are implemented, and the initial guess is proposed internally by the code. Eventually, as we discussed, the user should be able to provide the initial guess - most certainly under the form of an array of variables [10 x number of nodes]

Any comments on improving the GUI are welcome. I basically tried to make it simple, avoiding duplication with other GMAT feature, and implementing some of the options that have been discussed.

Joris

The method used for formulating the optimizationn problem is based on pseudospectral method. The objective function is always the mass (minimisation).

The code is full functional, although only rendezvous terminal constraints are implemented, and the initial guess is proposed internally by the code. Eventually, as we discussed, the user should be able to provide the initial guess - most certainly under the form of an array of variables [10 x number of nodes]

Any comments on improving the GUI are welcome. I basically tried to make it simple, avoiding duplication with other GMAT feature, and implementing some of the options that have been discussed.

Joris