Research/ SPACE AI & AUTONOMY

Neural-based trajectory shaping approach for terminal planetary pinpoint guidance

Roberto Furaro, Jules Simo, Brian Gaudet, Daniel R. Wibben

Preprint 2013/Aug 11, 2013

Space × AI

Technique

Guidance, Dynamics & ControlOpenAlex topic: Guidance and Control Systems

Indexed as

OpenAlexSpacecraft Dynamics and Control · Guidance and Control Systems · Space Satellite Systems and Control

PDF Publisher OpenAlex

In this paper, we present an approach to pinpoint landing based on what we consider to be the next evolution of path shaping methodologies based on potential functions. We employ neural network methodologies to learn the relationship between current spacecraft position and the optimal velocity field required to shape the path to the surface in a fuel efficient fashion. By ensuring that the velocity field is convergent to the desired target, a first-order guidance algorithm is designed to track the optimal velocity field.

Neural-based trajectory shaping approach for terminal planetary pinpoint guidance

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