基于粒子群算法的无刷交流发电系统PI参数整定  

PI Parameter Setting of Brushless AC Power Generation System Based on Particle Swarm Optimization

作　　者：赵致远 陈志辉[1] 茆林仪 ZHAO Zhiyuan;CHEN Zhihui;MAO Linyi(College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211100,China)

机构地区：[1]南京航空航天大学自动化学院,江苏南京211100

出　　处：《电机与控制应用》2022年第1期96-102,共7页Electric machines & control application

摘　　要：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.

关 键 词：三级式同步发电机 调压控制 PI参数整定 粒子群算法 

分 类 号：TM31[电气工程—电机]