Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8057797 | Aerospace Science and Technology | 2018 | 12 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Aerospace Engineering
Authors
Xiuqiang Jiang, Shuang Li, Ting Tao,