科技通报2024,Vol.40Issue(5) :34-38,45.DOI:10.13774/j.cnki.kjtb.2024.05.006

基于退火PSO-PI与重复PR的图腾柱PFC

Totem Pole PFC Based on Annealed PSO-PI and Repeated PR

贾旭辉 杨理驰 杨晋岭 曹金亮
科技通报2024,Vol.40Issue(5) :34-38,45.DOI:10.13774/j.cnki.kjtb.2024.05.006

基于退火PSO-PI与重复PR的图腾柱PFC

Totem Pole PFC Based on Annealed PSO-PI and Repeated PR

贾旭辉 1杨理驰 2杨晋岭 1曹金亮1
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作者信息

  • 1. 太原科技大学 电子信息工程学院,太原 030024
  • 2. 集美大学 轮机工程学院,福建 厦门 361021
  • 折叠

摘要

功率因数校正(power factor correction,PFC)被广泛应用于车载充电机以提高充电效率、减小对电网产生的谐波污染.本文常用的双闭环比例积分(proportional integration,PI)控制的基础上,研究了退火粒子群算法(particle swarm optimization,PSO-PI)和改进重复比例谐振(proportional resonance,PR)控制,通过退火PSO算法对电压环的PI控制器参数进行优化,提高了响应速度;将电流环由PI控制变为改进重复PR控制,以解决PI控制对高频信号跟踪能力弱的缺点,并选用了近几年比较热门的图腾柱PFC拓扑结构,最终提高了响应速度,降低总谐波畸变率(total harmonic distortion rate,THD).最后通过Matlab/Simulink仿真验证了控制策略的正确性,相比传统的图腾柱PFC,响应速度得到一定提高,THD值降低了2.07%.

Abstract

PFC(power factor correction)is widely used in on-board chargers to improve charging efficiency and re-duce harmonic pollution to the grid.Based on the commonly used double closed-loop PI(proportional integration)control,studied annealed PSO-PI(particle swarm optimization)and improved repetitive PR(proportional reso-nance)control,and the PI controller parameters of the voltage loop are optimized by annealing PSO algorithm to im-prove the response speed.The current loop was changed from PI control to improved repetitive PR control to solve the shortcomings of PI control with weak tracking ability of high-frequency signals,and the popular totem pole PFC topolo-gy in recent years was selected,which finally improved the response speed and reduced the THD(total harmonic dis-tortion rate).Finally,the correctness of the control strategy is verified by Matlab/Simulink simulation,and compared with the PI-controlled totem pole PFC,the response speed is improved,and the THD value is reduced by 2.07%.

关键词

图腾柱功率因数校正/改进重复PR控制/双闭环控制/粒子群算法/模拟退火算法

Key words

totem pole power factor correction/improved repetitive PR control/double closed-loop control/particle swarm algorithm/simulated annealing algorithm

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基金项目

国家自然科学基金(62072325)

山西省关键核心技术和共性技术研发攻关专项(20201102011)

出版年

2024
科技通报
浙江省科学技术协会

科技通报

CSTPCDCHSSCD
影响因子:0.457
ISSN:1001-7119
参考文献量8
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