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基于新型多电平功率变换器的SRM转矩分配函数控制方法

蔡燕 万耀华 刘云虎 吴宇航

天津工业大学学报2025,Vol.44Issue(2):51-62,12.
天津工业大学学报2025,Vol.44Issue(2):51-62,12.DOI:10.3969/j.issn.1671-024x.2025.02.008

基于新型多电平功率变换器的SRM转矩分配函数控制方法

Torque sharing function control method of SRM based on novel multilevel converter

蔡燕 1万耀华 1刘云虎 1吴宇航1

作者信息

  • 1. 天津工业大学电气工程学院,天津 300387
  • 折叠

摘要

Abstract

Due to the limitation of the switched reluctance motor(SRM)bus voltage and the unreasonable torque distribu-tion of the conventional torque sharing function(TSF)control,the torque ripple in the overlap conduction region is not sufficiently suppressed,and the torque ripple increases further as the speed rises.In order to improve this problem,a SRM online TSF control method based on a novel multilevel converter(MLC)is proposed.This method takes advantage of the high-voltage fast excitation and high-voltage fast demagnetization capabilities of the novel MLC to improve the torque following capacity of each phase winding.The overlap conduction region is divided into two regions,and the reference torque is distributed online in different regions according to the torque output capability of each phase to further reduce the torque following error.At the same time as reducing the torque ripple,in order to further reduce the copper loss of the motor,a particle swarm optimization(PSO)algo-rithm is used to optimize the angle control parameters offline under different operating conditions.Simulation and experimental verify that the proposed method effectively reduces motor torque ripple,especially at high speeds,with a maximum reduction of 46.6%compared to traditional methods.At the same time,motor efficiency has also been improved.

关键词

开关磁阻电机(SRM)/转矩脉动/多电平功率变换器(MLC)/转矩分配函数(TSF)/粒子群优化算法(PSO)

Key words

switched reluctance motor(SRM)/torque ripple/multilevel converter(MLC)/torque sharing function(TSF)/particle swarm optimization(PSO)

分类

动力与电气工程

引用本文复制引用

蔡燕,万耀华,刘云虎,吴宇航..基于新型多电平功率变换器的SRM转矩分配函数控制方法[J].天津工业大学学报,2025,44(2):51-62,12.

基金项目

国家自然科学基金项目(51777137) (51777137)

天津工业大学学报

OA北大核心

1671-024X

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