Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models

Understand

Preliminary spacecraft trajectory optimization is a parameter dependent global search problem that aims to provide a set of solutions that are of high quality and diverse.

• In the case of numerical solution, it is dependent on the original optimal control problem, the choice of a control transcription, and the behavior of a gradient based numerical solver.
• In this paper we formulate the parameterized global search problem as the task of sampling a conditional probability distribution with support on the neighborhoods of local basins of attraction to the high quality solutions.
• The conditional distribution is learned and represented using deep generative models that allow for prediction of how the local basins change as parameters vary.