UAV Path Planning Based on Improved GWO Algorithm

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

An improved algorithm based on the Grey Wolf optimizer (GWO) is addressed to generate the optimal path. Firstly, to use the optimization method to solve the path planning problem of UAV, the unconstrained path planning problem, and the constraints such as the no-fly area are abstracted as objective function and constraint function, respectively. Secondly, a penalty-based technique is applied to modify the extended cost function and the improved GWO is proposed to solve it. Finally, the result of digital simulation shows that the algorithm has good performance in the processing ability of constraint problems, convergence, and the robustness of globally optimal solutions.

源语言英语
主期刊名Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control
编辑Liang Yan, Haibin Duan, Yimin Deng, Liang Yan
出版商Springer Science and Business Media Deutschland GmbH
20-26
页数7
ISBN(印刷版)9789811966125
DOI
出版状态已出版 - 2023
活动International Conference on Guidance, Navigation and Control, ICGNC 2022 - Harbin, 中国
期限: 5 8月 20227 8月 2022

出版系列

姓名Lecture Notes in Electrical Engineering
845 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议International Conference on Guidance, Navigation and Control, ICGNC 2022
国家/地区中国
Harbin
时期5/08/227/08/22

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