Robust space trajectory design using belief stochastic optimal control

Greco, Cristian and Campagnola, Stefano and Vasile, Massimiliano (2020) Robust space trajectory design using belief stochastic optimal control. In: American Institute of Aeronautics and Astronautics (AIAA) SciTech Forum, 2020-01-06 - 2020-01-10, Hyatt Regency Orlando.

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    Abstract

    This paper presents a belief-based formulation and a novel approach for the robust solution of optimal control problems under uncertainty. The introduced formulation, based on the Belief Markov Decision Process model, reformulates the control problem directly in terms of uncertainty distributions, called beliefs, rather than on realisations of the system state. Successively, an approach inspired by navigation analysis is developed to transcribe and solve such problem in the presence of observation windows, employing a polynomial expansion for the dynamical propagation. Finally, the developed method is applied to the robust optimisation of a flyby trajectory of Europa Clipper mission in a scenario characterised by knowledge, execution and observation errors.

    Creators(s): Greco, Cristian ORCID logoORCID: https://orcid.org/0000-0001-5996-2114, Campagnola, Stefano and Vasile, Massimiliano ORCID logoORCID: https://orcid.org/0000-0001-8302-6465;
    Item type:Conference or Workshop Item(Paper)
    ID code:71168
    Keywords:optimal control, Markov decision processes, Mechanical engineering and machinery, Aerospace Engineering
    Subjects:Technology > Mechanical engineering and machinery
    Department:Faculty of Engineering > Mechanical and Aerospace Engineering
    Strategic Research Themes > Ocean, Air and Space
    Depositing user: Pure Administrator
    Date deposited:23 Jan 2020 11:52
    Last modified:01 Jan 2021 07:53
    URI:https://strathprints.strath.ac.uk/id/eprint/71168
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