Rapid trajectory planning method for hypersonic penetration based on sequential convex optimization and deep learning

Dong Guo; Xi Li; Jianyou Huang; Lei Zhang; Aojia Ma; Feng Gao; Zhipeng Shen

doi:10.1117/12.3011469

1 December 2023 Rapid trajectory planning method for hypersonic penetration based on sequential convex optimization and deep learning

Dong Guo, Xi Li, Jianyou Huang, Lei Zhang, Aojia Ma, Feng Gao, Zhipeng Shen

Author Affiliations +

Proceedings Volume 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023); 129400C (2023) https://doi.org/10.1117/12.3011469
Event: Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 2023, Sipsongpanna, China

Abstract

To improve the penetration capability for hypersonic vehicles, a rapid trajectory planning method for hypersonic penetration based on sequential convex optimization and deep learning is proposed in this paper. Firstly, to get a better evaluation of the hypersonic penetration problem under two interceptors, the penetration dynamics and its convex model are presented, which include the linearization, the discretization and the convexity processing. Meanwhile, to realize the rapid hypersonic penetration trajectory planning, the penetration problem is transformed into a second-order cone programming problem. Secondly, in order to further improve the real-time performance of hypersonic penetration trajectory planning, a penetration trajectory generation method based on deep neural networks is proposed. Finally, multiple scenarios are simulated to verify the proposed DNN based rapid trajectory planning method. Results indicate that the method can realized the effectively penetration which both realize the milliseconds calculating and the excellent robustness.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dong Guo, Xi Li, Jianyou Huang, Lei Zhang, Aojia Ma, Feng Gao, and Zhipeng Shen "Rapid trajectory planning method for hypersonic penetration based on sequential convex optimization and deep learning", Proc. SPIE 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 129400C (1 December 2023); https://doi.org/10.1117/12.3011469

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