Application of fuzzy PID control based on GA-PSO fusion algorithm in cold rolling gauge control system

Abstract

Automatic gauge control (AGC) system is widely used in cold rolling process, however, the complexity, nonlinearity and time-varying characteristics of AGC system make the control of AGC system a challenging task. This paper presents a control strategy based on Genetic-Particle Swarm Optimization (GA-PSO) fusion algorithm to optimize the fuzzy PID controller. It combines the advantages of GA and PSO algorithm. By optimizing the membership function of the fuzzy controller, the dynamic characteristics of AGC system can be further improved. Simulink simulation platform of commercial software MATLAB is used to simulate the actual rolling process to study the effectiveness of the fusion algorithm, and the dynamic characteristics of the system with and without disturbance were discussed. The simulation results show that, compared with the fuzzy PID control strategy, the fuzzy PID based on GA-PSO fusion algorithm can greatly enhance the rapidity and robustness of the system. The simulation results proved that the GA-PSO fusion algorithm can effectively improve the dynamic characteristics of rolling system.