图腾柱功率因数校正器GWO-PID设计  

GWO PID design of Totem Pole Power Factor Corrector

作　　者：朱斌若 焦伟 高煜寒 江剑峰 吴双 杨喜军[2] Zhu Binruo;Jiao Wei;Gao Yuhan;Jiang Jianfeng;Wu Shuang;Yang Xijun

机构地区：[1]国网上海市电力公司营销服务中心,上海200030 [2]上海交通大学电气工程系,上海200240 [3]中电科技集团重庆声光电有限公司系统工程部,重庆400060

出　　处：《变频器世界》2024年第2期107-114,共8页The World of Inverters

基　　金：中国科技部国家重点研发计划支持,编号:2020YFB1711000。

摘　　要：灰狼优化(Greywolf optimization,GWO)属于种群智能优化算法,具有简单高效的优点,成功应用于许多领域。本文在阐述GWO搜索机制和设计过程后,将其应用到图腾柱功率因数校正器(TPFC)的电压外环PID参数选择,采用一种改进ITAE指标和能量变化约束进行PID参数寻优,得到电压外环优化的KP、KI和KD。分析结果表明,在启动过程中输出电压响应速度快且无超调,输入电流不超调,在变载过程中输出电压抗负载波动能力强。TPFCGWO-PID参数设置方法不依赖系统特征参数和传递函数的精确性。Grey wolf optimization(GwO)algorithm belongs to swarm intelligence optimization algorithm,which has the advantages of simplicity and efficiency,and has been successfully applied in many fields.In the paper,after the Gwo searching principle and design process are depicted,GWO algorithm is used to select parameters of voltage outer loop in the totem pole power factor corrector(TPFC).Using an improved ITAE as well as confined energy variation constraint to search PID parameters optically,including KPKl and KD.The gained results show that the output voltage and input current of TPFC starts fast without overshoot and there is no obvious fluctuation when load changes.The TPFC GWO-PID adjusting method does not depend on the precision of the system characteristic parameters and transfer functions.

关 键 词：图腾柱PFC 输出电压响应 灰狼优化搜索 PID控制 

分 类 号：N945.15[自然科学总论—系统科学]