Formation Obstacle Avoidance Based on Model Predictive Control for Unmanned Vehicles

被引：0

作者：

Zhang, Shuo ^{[1
]}

Wu, Yuyang ^{[1
]}

Wang, Yang ^{[2
]}

Wang, Yiquan ^{[2
]}

Cui, Xing ^{[2
]}

Su, Yukang ^{[1
]}

机构：

[1] School of Mechanical Engineering, Beijing Institute of Technology, Beijing

[2] China North Vehicles Institute, Beijing

来源：

Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology | 2025年 / 45卷 / 01期

关键词：

dynamic event triggering; formation control; model predictive control; unmanned vehicle obstacle avoidance;

D O I：

10.15918/j.tbit1001-0645.2024.062

中图分类号：

学科分类号：

摘要：

An obstacle avoidance method was proposed based on model predictive control for unmanned vehicle formation. Firstly, a formation obstacle avoidance function including the virtual agent state was established to make the obstacle avoidance problem been solved suitably with the optimizer. And a priority strategy was introduced to realize collision avoidance in unmanned vehicle formation. Then, a dynamic event triggering mechanism was introduced to reduce the bandwidth usage of communication between unmanned vehicles. Finally, simulation tests were carried out to evaluate the performance of the designed controller, conducting the formation driving tasks based on a leader-tracker architecture under the environment of given polygonal obstacles, and realizing the intermittent communication during driving with the help of event trigger. The results show that compared with traditional methods, the designed formation controller can realize the collision-free driving with limited bandwidth for unmanned vehicle formation. © 2025 Beijing Institute of Technology. All rights reserved.

引用

页码：34 / 41

页数：7

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