在MATLAB/Simulink软件中搭建三级式无刷交流同步发电机调压控制系统模型时，需要选取合适的PI参数使系统的输出电压满足相应的指标。考虑到传统的PI参数整定方法计算复杂，且计算出的参数需要经过多次调整才能满足系统指标，设计了一种基于粒子群（PSO）算法整定PI参数的方法，用以提高三级式同步发电机调压控制系统模型的PI参数整定效率。仿真结果验证了PSO算法整定无刷交流发电系统PI参数的可行性，可以根据需要的输出电压指标整定合适的PI参数。

When a three-stage brushless AC synchronous generator voltage regulation control system model is built in MATLAB/Simulink software, it is necessary to select appropriate PI parameters to make the output voltage of the system meet the corresponding indicators. Considering that the traditional PI parameter setting method is complex and the calculated parameters need to be adjusted many times to meet the system indicators, a method for PI parameter setting based on the particle swarm optimization (PSO) algorithm is designed to improve the PI parameter tuning efficiency of the three-stage brushless AC synchronous generator voltage regulation control system model. The simulation results verify that the PSO algorithm to adjust the PI parameters of the brushless AC power generation system is feasible, and the appropriate PI parameters can be adjusted according to the required output voltage indicators.