@inproceedings{e8b1127bba714834a2716efbcaf6b886,
title = "Path Planning Based on Improved MPC for Fixed Wing UAVs with Collision Avoidance",
abstract = "A key problem in the fixed-wing UAVs control with constraints is the time consumption of objective function optimization. In this paper, considering multiple constraints, an improved model predictive control algorithm for the path planning problem of fixed-wing UAVs is proposed to reduce the computer storage requirements and enhance the calculation efficiency. The improved MPC and the inner loop controller are combined in Matlab and Simulink for verification, which shows that our method has a faster convergence of the fixed-wing UAVs positions into a desired formation.",
keywords = "Fixed-wing, Limited-BFGS, Model predictive control",
author = "Meimei Su and Huixia Liu and Jinwen Hu and Chunhui Zhao and Xiaolei Hou and Quan Pan and Caijuan Jia",
note = "Publisher Copyright: {\textcopyright} 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2020 ; Conference date: 23-10-2020 Through 25-10-2020",
year = "2022",
doi = "10.1007/978-981-15-8155-7\_192",
language = "英语",
isbn = "9789811581540",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "2287--2296",
editor = "Liang Yan and Haibin Duan and Xiang Yu",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020",
}