Research on Control Strategy of Buck Converter Based on Particle Swarm Optimization Fuzzy PID

Because buck converter is a typical non-minimum phase system, the traditional PID algorithm has the disadvantages of low control accuracy and high system overshoot, while fuzzy PID control only slightly improves the control effect. Therefore, this paper designs a control strategy based on particle swarm optimization fuzzy PID algorithm to enhance the control effect of the buck converter and combines chaotic variables to optimize the quality of the initial particle swarm. Finally, Matlab simulation experiments verify that the control strategy of fuzzy PID optimization using particle swarm optimization combined with chaotic variables has the advantages of short response time, high stability, and low system overshoot compared with the traditional PID algorithm and fuzzy PID algorithm.