自动化与仪表2024,Vol.39Issue(12) :32-36.DOI:10.19557/j.cnki.1001-9944.2024.12.007

基于IBAS-PID的水下阀门电机智能控制方法

Intelligent Control Method of Subsea Valve Motor Based on IBAS-PID

韩云峰 张纪亚 魏娟 郝富强
自动化与仪表2024,Vol.39Issue(12) :32-36.DOI:10.19557/j.cnki.1001-9944.2024.12.007

基于IBAS-PID的水下阀门电机智能控制方法

Intelligent Control Method of Subsea Valve Motor Based on IBAS-PID

韩云峰 1张纪亚 2魏娟 1郝富强2
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作者信息

  • 1. 中海油研究总院有限责任公司,北京 100028
  • 2. 深圳市行健自动化股份有限公司,深圳 518057
  • 折叠

摘要

为提高水下阀门电机在复杂水下环境中的精准控制能力,保证水下阀门的高效可靠运作,提出一种基于IBAS-PID的水下阀门电机智能控制方法.通过对水下阀门电机不同布置结构的优缺点分析,确定采用并联布置结构提高水下阀门电机的可用性以及可靠性;针对传统的PID控制参数整定方法存在的不足,通过改进的天牛须搜索算法(IBAS)进行PID参数整定优化,以期提高水下阀门电机的整体控制性能.设计针对水下阀门电机性能测试的仿真实验,实验结果表明基于IBAS-PID的水下阀门电机智能控制方法相比基于遗传算法的PID参数整定方式以及模糊PID控制方法的响应时间更短,控制精度更高,同时在扰动条件下,具备更好的鲁棒性.

Abstract

In order to improve the precise control ability of subsea valve motor in complex subsea environment and ensure the efficient and reliable operation of subsea valve,an intelligent control method of subsea valve motor based on IBAS-PID was proposed.Through the analysis of the advantages and disadvantages of different arrangement struc-tures of subsea valve motors,it is determined that the parallel arrangement structure is used to improve the availabil-ity and reliability of subsea valve motors.In view of the shortcomings of the traditional PID control parameter tuning method,the PID parameter tuning optimization was carried out by the improved beetle antennae search algorithm(IBAS),in order to improve the overall control performance of the subsea valve motor.The experimental results show that the intelligent control method of subsea valve motor based on IBAS-PID has shorter response time,higher control accuracy,and better robustness under disturbance conditions than the PID parameter tuning method and fuzzy PID control method based on genetic algorithm.

关键词

改进天牛须搜索算法/PID参数整定/水下阀门电机/并联布置/智能控制

Key words

improved beetle antennae search(IBAS)algorithm/PID parameter tuning/subsea valve motors/parallel ar-rangement/intelligent control

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出版年

2024
自动化与仪表
天津市工业自动化仪表研究所 天津市自动化学会

自动化与仪表

CSTPCD
影响因子:0.548
ISSN:1001-9944
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