Research on Charging Strategy Based on Improved PSO Optimized Fuzzy PID

In order to improve the control accuracy of the charging control system, a control system combining the improved particle swarm optimization algorithm with fuzzy PID control is proposed. The input current/voltage signal of the Buck-Boost converter and the feedback signal and other parameters are used as the input signal of the improved particle swarm optimized PID controller, and the quantization factor $K_{\mathrm{e}}, K_{\mathrm{e}c}$ is obtained through the improved particle swarm iterative optimization, and $K_{\mathrm{e}c}, K_{\mathrm{e}}$ is subjected to fuzzification and anti-fuzzification, and the control accuracy is improved by dynamically adjusting the weight factor. The Matlab simulation results show that the improved particle swarm optimized fuzzy PID has small overshoot, short adjustment time, no oscillation, strong adaptive capability, good perturbation compensation, improved robustness of the system, and can improve the control accuracy and charging efficiency of the charging control system.