Research on Obstacle Avoidance Control Method of Multi-UAV Based on Model Predictive Control

Zheng Kewang, Ding Tenghuan
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引用次数: 1

Abstract

Aiming at the problem of multi-UAV obstacle avoidance control, a method of multi-UAV obstacle avoidance path planning based on model predictive control is proposed. Firstly, based on the UAV kinematics model and the analysis of the spatial geometric relationship between multiple UAV aircraft and obstacles, the obstacle avoidance rule based on Angle change was designed, and the optimal control model of multi-UAV collaborative obstacle avoidance was established. The nonlinear model predictive control method was used to solve the collaborative obstacle avoidance problem, and the specified UAV behavior pattern was used to shear the search space to improve the search efficiency of the method. Simulation results show that the proposed obstacle avoidance control method can not only solve the static obstacle avoidance control of the UAV, but also solve the problem of collision prevention between multiple UAV aircraft, which can effectively improve the working safety of the multi-UAV system.
基于模型预测控制的多无人机避障控制方法研究
针对多无人机避障控制问题,提出了一种基于模型预测控制的多无人机避障路径规划方法。首先,在建立无人机运动学模型的基础上,分析多架无人机与障碍物的空间几何关系,设计基于角度变化的避障规则,建立多架无人机协同避障最优控制模型;采用非线性模型预测控制方法解决协同避障问题,并利用指定的无人机行为模式剪切搜索空间,提高方法的搜索效率。仿真结果表明,所提出的避障控制方法不仅可以解决无人机的静态避障控制问题,还可以解决多架无人机之间的防碰撞问题,可以有效提高多无人机系统的工作安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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