An Investigation into Path Planning of Underwater Vehicle Based on Improved Particle Swarm Optimization Algorithm

An Investigation into Path Planning of Underwater Vehicle Based on Improved Particle Swarm Optimization Algorithm

Addressing the challenges that unmanned underwater vehicles (UUVs) face in path planning, including complex constraints, unstable optimization algorithm performance, and unsmooth paths, this paper proposes a path planning method using an improved particle swarm optimization (PSO) algorithm. Firstly,...

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Bibliographic Details
Main Authors: LYU Shiwei, ZHU Yinggu, LU Nibin, LI Xinyang, LIU Hairui
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2023-12-01
Series:Kongzhi Yu Xinxi Jishu
Subjects:
unmanned underwater vehicle
path planning
particle swarm optimization
inertia weight
optimization objectives
path smoothing
Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2023.06.009
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