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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    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.

    Creators(s): Furaro, Roberto, Simo, Jules ORCID logoORCID: https://orcid.org/0000-0002-1489-5920, Gaudet, Brian and Wibben, Daniel; Broschart, Stephen, Turner, James, Howell, Kathleen and Hoots, Felix
    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:20 Feb 2021 01:39
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/49691
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