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计及参数失配的电励磁双凸极电机改进型双矢量模型预测电流控制策略

狄伟 赵凯诺 张李娜 吴冬福 谭强 周兴伟

电机与控制应用2025,Vol.52Issue(10):1063-1074,12.
电机与控制应用2025,Vol.52Issue(10):1063-1074,12.DOI:10.12177/emca.2025.096

计及参数失配的电励磁双凸极电机改进型双矢量模型预测电流控制策略

Improved Dual-Vector Model Predictive Current Control Strategy for Doubly Salient Electromagnetic Machine Considering Parameter Mismatch

狄伟 1赵凯诺 2张李娜 1吴冬福 1谭强 3周兴伟2

作者信息

  • 1. 宁波德昌科技有限公司,浙江 宁波 315400
  • 2. 河海大学 电气与动力工程学院,江苏 南京 211100
  • 3. 南京航空航天大学 自动化学院,江苏 南京 211106
  • 折叠

摘要

Abstract

[Objective]This study addresses the limitations of conventional model predictive current control(MPCC)for doubly salient electromagnetic machine,including excessive current fluctuations and strong parameter dependency.An improved dual-vector model predictive current control(IDV-MPCC)strategy integrated with online parameter identification is proposed to enhance control robustness.[Methods]The proposed strategy achieved rapid sector localization of vectors,reduced the number of optimizations from 18 in traditional exhaustive search algorithms to just 4.This was accomplished by redefining the sectors and providing a new table for selecting vector combinations,which significantly reduced current prediction errors and ripples.To address parameter sensitivity issues,the model reference adaptive system(MRAS)was employed to perform online identification of the self-inductance and mutual inductance of the armature windings,and the identified results were fed back into the prediction model in real-time to correct it,thereby enhancing system robustness.[Results]The IDV-MPCC method significantly reduced current harmonics and torque ripples,while the MRAS-based identification effectively suppressed prediction errors caused by parameter mismatches.[Conclusion]The experimental results have verified that the proposed MRAS-IDV-MPCC method can effectively improve the control performance while reducing the computational burden of the system.

关键词

电励磁双凸极电机/模型预测电流控制/双矢量/参数敏感性/模型参考自适应系统

Key words

doubly salient electromagnetic machine/model predictive current control/dual-vector/parameter sensitivity/model reference adaptive system

分类

动力与电气工程

引用本文复制引用

狄伟,赵凯诺,张李娜,吴冬福,谭强,周兴伟..计及参数失配的电励磁双凸极电机改进型双矢量模型预测电流控制策略[J].电机与控制应用,2025,52(10):1063-1074,12.

电机与控制应用

1673-6540

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