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MPC-Based Collision-Free Trajectory Planning for Multi-UGV Formation with Yaw Constraints

  • Denglin Tang
  • , Haopeng Wang
  • , Yongfang Liu
  • , Yu Zhao
  • Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper presents a model predictive control (MPC)-based trajectory planning method for multi-unmanned ground vehicle (UGV) formation, targeting collision-free navigation in a cluttered environment while satisfying the terminal yaw angle constraint. The proposed approach integrates Buffered Voronoi Cell (BVC) to ensure internal collision avoidance and constructs a feasible region to avoid external obstacles. A yaw error term is incorporated into the formation optimization to achieve precise orientation control, and the formation shape is adaptively optimized to accommodate narrow passages. Furthermore, an adaptive guidance point selection strategy is designed to balance path feasibility and formation stability. Simulation results demonstrate the effectiveness of the proposed method in complex environments, showing accurate terminal yaw control and superior performance in terms of calculation cost and planning efficiency.

源语言英语
主期刊名Proceedings of 2025 9th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Control Technologies
编辑Qing Wang, Xiwang Dong, Peng Song
出版商Springer Science and Business Media Deutschland GmbH
332-345
页数14
ISBN(印刷版)9789819584345
DOI
出版状态已出版 - 2026
活动9th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2025 - Shanghai, 中国
期限: 31 10月 20253 11月 2025

出版系列

姓名Lecture Notes in Electrical Engineering
1604 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议9th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2025
国家/地区中国
Shanghai
时期31/10/253/11/25

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