Tuning of PID parameters based on particle swarm optimization

2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering

材料科学;无线电电子学;电工学

Yang, Deqing^1

Industrial Technology Research Institute, Zhengzhou University, Zhengzhou

450001, China^1

关键词: Complex objects;    Optimal solutions;    PID controllers;    PID parameter tuning;    Quickly calculate;    Second-order systemss;    SIMPLE algorithm;    Trial-and-error method;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/4/042179/pdf
DOI  :  10.1088/1757-899X/452/4/042179

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

PID controller has the advantages of simple algorithm, easy realization, easy adjustment and good robustness, and is widely used in various industries. Engineers have accumulated a wealth of experience in the long-term practice of PID controller parameter tuning, but the traditional experience-based PID parameter tuning method has been unable to meet the control needs of modern nonlinear complex objects. In this paper, the PID parameter tuning algorithm of basic particle swarm optimization (PSO) is designed. Establish the second-order system, select the experience trial and error method to tune the PID parameters, this method cannot quickly calculate the PID parameters, the staff need to rely on experience to constantly try and error, inefficient. However, the optimal solution of PID parameters can be obtained quickly by using PSO, and the control effect is good.