Research on control of DC speed-regulated electric energy vehicle based on PSO optimization

Abstract

Aiming at the problem that the traditional electric energy vehicle speed control system is challenging to meet its application in high speed, high precision, and large disturbance, a particle swarm optimization PID energy vehicle control algorithm is proposed in this paper. Firstly, the DC motor speed regulation system controlled by the STC89C52 microcontroller is designed to realize its speed regulation function, and the PID control algorithm optimizes the graph curve to realize the design of the controller. Then the composition and operation principle of the servo motor model is introduced, and its mathematical model is analyzed under ideal conditions. Then, the simulation model of PID self-tuning is built under the Simulink platform to obtain the characteristics of each PID link. Because the traditional PID parameter tuning process is generally time-consuming and laborious, and some complex systems have certain hysteresis, nonlinear and other factors, which makes the PID parameter tuning difficult. To this end, the basic principle, composition, and structure of the PSO algorithm are analyzed, and it is combined with the PID algorithm, and the particle swarm algorithm is innovatively applied to the optimization problem of each parameter of the PID regulator and is based on the MATLAB/Simulink platform. Simulation experiments are carried out, and the results show that the PID regulator optimized by particle swarm optimization has excellent control performance in all aspects, which makes the speed control system have the advantages of rapid response, high control accuracy, anti-interference, and good adaptability.