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Computational guidance for planetary powered descent using collaborative optimization
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Affiliation of Author(s):航天学院

Journal:AEROSPACE SCIENCE AND TECHNOLOGY

Key Words:Planetary powered descent Computational guidance Multi-discipline optimization Collaborative optimization

Abstract:An innovative computational guidance framework is proposed for planetary powered descent using collaborative optimization approach. First, the dynamical model and constraints for planetary powered descent are presented. Then, using collaborative optimization strategy, the computational guidance framework for powered descent is formulated as a multi-discipline optimization problem including trajectory optimization, optimal guidance, and system-level optimization. Finally, the computational guidance approach employs three algorithms for respectively solving the three optimization modules to implement numerical simulations. The optimality and robustness of the computational guidance approach are verified with all constraints satisfied even in the presence of initial state uncertainty. (C) 2018 Elsevier Masson SAS. All rights reserved.

ISSN No.:1270-9638

Translation or Not:no

Date of Publication:2018-05-01

Co-author:Jiang, Xiuqiang,Tao, Ting

Correspondence Author:李爽

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Professor

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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