未知环境下多AUV协同避障方法研究
针对多AUV(autonomous underwater vehicle)系统在未知环境中进行路径规划时,难以兼顾避障与编队的问题,提出了一种基于领航-跟随者与行为的多AUV协同避障方法。首先,通过构造碰撞危险度及偏离目标评价函数,设计了AUV局部路径规划方法;在此基础上,结合编队控制方法,分别为领航者和跟随者设计不同的行为以及行为选择模式。半物理仿真实验结果表明,该算法能够实现多AUV系统在未知环境中的协同避障,且队形偏离度与恢复队形时间优于传统多机器人避障算法。实验结果证明了该算法的可行性与有效性。
iming at the problem that it is difficult to take into account both obstacle avoidance and formation when multi-AUV system plans path in unknown environment, this paper proposed a multi-AUV cooperative obstacle avoidance method based on leader-follower and behavior. First, this paper designed a local path planning method for AUV by constructing the evaluation function of collision risk and deviation from the target; on this basis, combined with formation control method, this paper designed different behaviors and behavior selection patterns for leader and followers respectively. The semi-physical simulation experiment results show that the algorithm can realize the cooperative obstacle avoidance of multi-AUV system in unknown environment, and the formation deviation and recovery time are better than traditional multi-robot obstacle avoidance algorithms. Experimental results verify the feasibility and effectiveness of the algorithm.
刘亚、曾俊宝
自动化技术、自动化技术设备计算技术、计算机技术遥感技术
路径规划多AUV协同避障领航-跟随者行为
刘亚,曾俊宝.未知环境下多AUV协同避障方法研究[EB/OL].(2022-06-06)[2025-08-18].https://chinaxiv.org/abs/202206.00070.点此复制
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