Neural-based trajectory shaping approach for terminal planetary pinpoint guidance

Furaro, Roberto and Simo, Jules and Gaudet, Brian and Wibben, Daniel; Broschart, Stephen and Turner, James and Howell, Kathleen and Hoots, Felix, eds. (2013) Neural-based trajectory shaping approach for terminal planetary pinpoint guidance. In: Advances in the Astronautical Sciences. Advances in the Astronautical Sciences, 150 . Univelt Inc, USA, pp. 2557-2574.

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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.