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A multiple tuning method for PID controllers using constrained particle swarm optimization

机译：使用受限粒子群优化的PID控制器多调谐方法

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摘要

The design of PID controllers can be considered as a constrained nonlinear optimization problem. This paper proposes a novel multiple tuning method for PID controllers based on the constrained particle swarm optimization algorithm. The design objective is to achieve the near-optimal performance subject to constraints in the time and frequency domain. Different optimization indexes and constraints can be selected to satisfy the multiple requirements of the processes. The proposed PID tuning method is tested on various kinds of processes with improved performance over the classic ZN tuning and other methods.

机译：PID控制器的设计可以被认为是受约束的非线性优化问题。本文提出了一种基于受约束粒子群优化算法的PID控制器的新型多种调谐方法。设计目标是在时间和频域中实现对约束的近乎最佳性能。可以选择不同的优化索引和约束来满足过程的多个要求。在各种过程中测试了所提出的PID调谐方法，其在经典Zn调谐和其他方法上具有改进的性能。

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《Chinese Control Conference》|2011年||共6页
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作者
Chen Xian; Fei Minrui;
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原文格式 PDF
正文语种
中图分类 TP273-53;
关键词
Constrained Optimization; Multiple Tuning Method; PID Controller; Particle Swarm Optimization;

机译：受限优化;多调谐方法;PID控制器;粒子群优化;

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2. Robust PID controller tuning based on the constrained particle swarm optimization [J] . Tae-Hyoung Kim, Ichiro Maruta, Toshiharu Sugie Automatica . 2008,第4期

机译：基于约束粒子群算法的鲁棒PID控制器整定
3. Experimental Investigation of Fully Informed Particle Swarm Optimization tuned Multi Loop L-PID and NL-PID Controllers for Gantry Crane System [J] . Sudarshan K. Valluru, Manpreet Kaur, Kumar Kartikeya, Procedia Computer Science . 2020,第5期

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4. Fractional-order PID mu controller tuned by coefficient diagram method and particle swarm optimization algorithms for SO2 emission control process [J] . Maheswari C., Priyanka E. B., Meenakshipriya B. Proceedings of the Institution of Mechanical Engineers . 2017,第I8期

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5. A multiple tuning method for PID controllers using constrained particle swarm optimization [C] . Chen Xian, Fei Minrui 2011 30th Chinese Control Conference . 2011

机译：基于约束粒子群算法的PID控制器多重整定方法
6. Culture based particle swarm optimization framework for constrained dynamic multiple objective optimization. [D] . Kadkol, Ashwin A. 2010

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7. Steady state analysis of modern industrial variable speed drive systems using controllers adjusted via grey wolf algorithm particle swarm optimization [O] . Safwan Nadweh, Ola Khaddam, Ghassan Hayeh, 2020

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8. A New Method of particle swarm optimization approach for tuning PID controller [O] . Amal Moharam, Mostafa Elhosseini, Hisham Khalifa 2020

机译：调整PID控制器粒子群优化方法的新方法

A multiple tuning method for PID controllers using constrained particle swarm optimization

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