Improved Particle Swarm Optimization for Solving in PID Control of Electro-Hydraulic Servo System

Abstract

Abstract The drill pipe handling system is characterized by large working load, wide range of load variation and high control accuracy requirements, which put certain requirements on the stability and reliability of the hydraulic system. In this paper, the research on the optimized control of electro-hydraulic servo system of drill pipe handling system is mainly conducted. Firstly, the mathematical model of the electro-hydraulic servo system is established and the transfer function of the electro-hydraulic servo system is solved. Secondly, the Cauchy mutation mechanism is introduced to improve the traditional particle swarm optimization (PSO) algorithm for the defects of local optimum, and the algorithm is verified by a series of experiments. The results show that the improved PSO has faster convergence speed and higher convergence accuracy, and the solution performance is greatly improved. Finally, Simulink is used to build a simulation model and the improved PSO algorithm is applied to the optimization of PID parameters. It is found that the improved PSO algorithm obtains better control effect through simulation.