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模糊控制作用于串级PID控制不同位置对水下机器人控制效果的比较研究

李睿之 陈超核 江梦洁 张连宾

机电工程技术2026,Vol.55Issue(14):29-37,9.
机电工程技术2026,Vol.55Issue(14):29-37,9.DOI:10.3969/j.issn.1009-9492.2025.00158

模糊控制作用于串级PID控制不同位置对水下机器人控制效果的比较研究

Comparative Study on the Effects of Fuzzy Control Applied at Different Positions of Cascade PID Control for Underwater Robot Control Performance

李睿之 1陈超核 1江梦洁 1张连宾1

作者信息

  • 1. 华南理工大学 土木与交通学院,广州 510640
  • 折叠

摘要

Abstract

To address the challenge of high-precision motion control for remotely operated vehicles(ROV)in complex marine environments,three hybrid strategies integrating fuzzy control with cascade PID control are systematically evaluated:cascade PID parallel fuzzy control,fuzzy PID+PID control,and PID+fuzzy PID control.Using Simulink simulations,forward-backward and yaw motions are taken as control objects,with a step input of amplitude 100 applied,and external disturbances at 30 s.Dynamic response,steady-state accuracy,and anti-interference capability are assessed from three aspects.Results show that all hybrid strategies outperform conventional cascade PID control with distinct advantages:fuzzy PID+PID achieves optimal anti-interference performance,with recovery times of 2.678 s(forward-backward)and 1.878 s(yaw)after disturbances;PID+fuzzy PID control achieves a step response overshoot of 0%,effectively suppressing overshoot;cascade PID parallel fuzzy control balances performance,reducing overshoot by 21.1%and settling time by 0.963 s in forward-backward motion,and 16.1%overshoot reduction with 0.635 s shorter settling time in yaw motion.The study reveals that the integration position of fuzzy control within cascade PID structures significantly affects performance.These findings provide a systematic theoretical framework for composite control strategies in ROV,offering practical guidance for real-world applications.

关键词

水下机器人/模糊控制/串级PID控制/运动控制

Key words

underwater robot/fuzzy control/cascade PID control/motion control

分类

信息技术与安全科学

引用本文复制引用

李睿之,陈超核,江梦洁,张连宾..模糊控制作用于串级PID控制不同位置对水下机器人控制效果的比较研究[J].机电工程技术,2026,55(14):29-37,9.

基金项目

广东省重点领域研发计划项目(2020B1111010001) (2020B1111010001)

机电工程技术

1009-9492

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