Neural-based trajectory shaping approach for terminal planetary pinpoint guidance

Furaro, Roberto and Simo, Jules and Gaudet, Brian and Wibben, Daniel (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, Hilton Head SC, pp. 2557-2574.

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Abstract

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.

Author(s):	Furaro, Roberto, Simo, Jules ORCID: https://orcid.org/0000-0002-1489-5920, Gaudet, Brian and Wibben, Daniel
Item type:	Book Section
ID code:	49691
Keywords:	trajectory design, planetary pinpoint guidance, neural network applications, Mechanical engineering and machinery, Motor vehicles. Aeronautics. Astronautics, Mechanical Engineering, Aerospace Engineering, Control and Systems Engineering
Subjects:	Technology > Mechanical engineering and machinery Technology > Motor vehicles. Aeronautics. Astronautics
Department:	Faculty of Engineering > Mechanical and Aerospace Engineering
Depositing user:	Pure Administrator
Date deposited:	08 Oct 2014 09:57
Last modified:	03 Sep 2019 01:56
Related URLs:	Journal or Publication
URI:	https://strathprints.strath.ac.uk/id/eprint/49691
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