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基于模糊PID与混合智能优化的深远海养殖网箱升降控制研究

程鹏 赵宁 陈华林 危卫

渔业现代化2026,Vol.53Issue(3):79-87,9.
渔业现代化2026,Vol.53Issue(3):79-87,9.DOI:10.26958/j.cnki.1007-9580.2026.03.008

基于模糊PID与混合智能优化的深远海养殖网箱升降控制研究

Design and analysis of a fuzzy PID-based lifting control system for deep-sea aquaculture cages optimized by hybrid intelligent algorithms

程鹏 1赵宁 1陈华林 2危卫3

作者信息

  • 1. 中交广州水运工程设计研究院有限公司,广东 广州 510220
  • 2. 中交华南交通建设有限公司,广东 广州 510220
  • 3. 武汉理工大学交通与物流工程学院,湖北武汉 430063
  • 折叠

摘要

Abstract

In response to the vulnerability of aquaculture net cages to wave-induced impacts under complex deep-and far-sea conditions,this study designs and verifies a lifting control system based on a fuzzy PID controller combined with a genetic-particle swarm hybrid optimization algorithm(GAPSO),aiming to enhance the disturbance resistance and control accuracy of offshore aquaculture cages under severe sea states.Based on the typical truss-type"Ri-shaped"modular cage structure and its vertical lifting mechanism,a transfer-function model of the control object is established with lifting velocity regulation as the control objective.On this basis,a fuzzy PID controller is developed,in which Gaussian membership functions,centroid defuzzification,and a fuzzy rule base are employed to realize adaptive system adjustment.Simulation results indicate that,compared with the conventional PID controller,the fuzzy PID controller reduces overshoot by 8%and shortens the response time by 24.97%.Furthermore,a genetic-particle swarm hybrid optimization algorithm is introduced to perform embedded optimization of the quantization factors and scaling factors in the fuzzy controller,thereby reducing the subjectivity of parameter tuning and improving controller robustness.Final simulation results demonstrate that the GAPSO-optimized fuzzy PID controller exhibits superior control accuracy and disturbance rejection performance under multiple disturbance conditions,with the ITAE index reduced by more than 78%compared with the conventional PID controller.

关键词

深远海养殖/升降控制系统/模糊PID/遗传粒子群算法/智能优化

Key words

deep-sea aquaculture/lifting control system/fuzzy PID/genetic particle swarm algorithm/intelligent optimization

分类

信息技术与安全科学

引用本文复制引用

程鹏,赵宁,陈华林,危卫..基于模糊PID与混合智能优化的深远海养殖网箱升降控制研究[J].渔业现代化,2026,53(3):79-87,9.

基金项目

中交集团青年创新项目"海洋养殖桩基升降式网箱关键技术研究(RP2024044287)" (RP2024044287)

渔业现代化

1007-9580

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