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Integrated guidance for Mars entry and powered descent using reinforcement learning and pseudospectral method
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Affiliation of Author(s):航天学院

Journal:Acta Astronaut

Abstract:Traditional studies on Mars entry, descent, and landing usually take a divide-and-conquer approach where each phase is investigated separately. This paper proposed a new approach to achieve optimal integrated guidance for mid-lift high-mass Mars entry and powered descent. First, optimal Mars atmospheric entry and optimal powered descent are respectively modeled. Second, optimal handover problem is formulated to integrate the optimal Mars entry and powered descent problems in a collaborative optimization manner. Third, hp-adaptive pseudospectral method is employed to capture optimal entry guidance and propellant-optimal powered descent guidance. Reinforcement learning methodology is adopted to obtain the optimal handover, according to a large amount of trial results obtained from solving optimal Mars entry and powered descent problems. Finally, numerical simulations verified the optimality, robustness, and accuracy of the proposed technique through comparing with successive convexification approach under the nominal conditions and uncertainties, and the comparison results demonstrated the significant benefit of the integrated optimal guidance. © 2018 IAA

ISSN No.:0094-5765

Translation or Not:no

Date of Publication:2019-10-01

Co-author:Jiang, Xiuqiang,Furfaro, Roberto

Correspondence Author:李爽

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Alma Mater:哈尔滨工业大学

Education Level:哈尔滨工业大学

Degree:Doctoral Degree in Engineering

School/Department:College of Astronautics

Discipline:Flight Vehicle Design. Guidance, Navigation, and Control

Business Address:江宁校区D11号楼A503

Contact Information:025-84896039

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