Path planning of underwater vehicle based on particle swarm optimization

Xiaoyong Tang, Fei Yu, Ruijuan Chen
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引用次数: 6

Abstract

The particle swarm optimization is applied to path planning of the underwater vehicle. Firstly, the purpose of dimensionality reduction by the transformation of spatial coordinates and slicing of 3D space is achieved. Secondly, an effective path function and a rotation frequency function are defined. Then the path planning problem is changed into solving the optimization problem, and there are some improvements in the program in order to meet project needs. Finally, through the simulation, the feasibility and effectiveness of the program is proved.
基于粒子群优化的水下航行器路径规划
将粒子群算法应用于水下机器人的路径规划。首先,通过空间坐标变换和三维空间切片实现降维的目的;其次,定义有效路径函数和旋转频率函数;然后将路径规划问题转化为求解优化问题,并对方案进行了一些改进,以满足工程需要。最后,通过仿真验证了该方案的可行性和有效性。
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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