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多自主水下机器人在动态海洋环境中的协同路径规划。

Cooperative path planning of multiple autonomous underwater vehicles operating in dynamic ocean environment.

机构信息

School of Information Science and Engineering, Harbin Institute of Technology, Weihai, 264200, PR China.

School of Information Science and Engineering, Harbin Institute of Technology, Weihai, 264200, PR China.

出版信息

ISA Trans. 2019 Nov;94:174-186. doi: 10.1016/j.isatra.2019.04.012. Epub 2019 Apr 26.

Abstract

This paper presents a two-stage cooperative path planner for multiple autonomous underwater vehicles operating in dynamic environment. In case of static environment, global Legendre pseudospectral method is employed for collision-free paths of vehicles for the purpose of minimum time consumption and simultaneous arrival. Moreover, in order to keep the multiple autonomous underwater vehicles safe from collisions on the path segments connecting two adjacent control nodes, an adaptive intermediate knots insertion algorithm is introduced. In the on-line planning stage, the local re-planning strategy aims at avoiding collisions with unexpected dynamic obstacles by two consecutive avoidance maneuvers, and the differential flatness property of autonomous underwater vehicle is utilized, which can help the vehicles react fast enough to avoid moving obstacles.

摘要

本文提出了一种用于在动态环境中运行的多自主水下机器人的两阶段协同路径规划方法。在静态环境中,采用全局勒让德伪谱方法为车辆规划无碰撞路径,以达到最小时间消耗和同时到达的目的。此外,为了使多自主水下机器人在连接两个相邻控制节点的路径段上安全避碰,引入了一种自适应中间节点插入算法。在在线规划阶段,通过连续两次避障操作的局部重新规划策略来避免与意外动态障碍物的碰撞,并利用自主水下机器人的微分平坦性特性,使车辆能够快速反应以避免移动障碍物。

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