An Improved Model Predictive Voltage Control for PMSM Drives without Motor Parameters

Xiaoguang Zhang;Ruifang Chen
{"title":"An Improved Model Predictive Voltage Control for PMSM Drives without Motor Parameters","authors":"Xiaoguang Zhang;Ruifang Chen","doi":"10.30941/CESTEMS.2024.00049","DOIUrl":null,"url":null,"abstract":"To address the performance degradation of permanent magnet synchronous motor (PMSM) drives caused by parameter mismatches between actual motor and ideal model in complex industrial environment, an improved model predictive voltage control (I-MPVC) approach without motor parameters is presented in this article. Unlike traditional MPVC where accurate motor parameters are heavily relied on, a motor parameter-independent (MPI) prediction model is constructed to eliminate parameter dependency. Firstly, an incremental voltage prediction model is developed where the influence of resistance and flux linkage mismatches is reduced. Then, an inductance parameter-independent (IPI) factor model, which solely relies on the current and voltage information, is further designed. Besides, the proposed approach takes lower computational complexity, as well as simpler parameter tuning steps, which offers significant benefits for real-time applications in industrial fields. Finally, experiments are conducted to validate the feasibility and superiority of the proposed approach.","PeriodicalId":100229,"journal":{"name":"CES Transactions on Electrical Machines and Systems","volume":"8 4","pages":"471-480"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10818789","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CES Transactions on Electrical Machines and Systems","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10818789/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

To address the performance degradation of permanent magnet synchronous motor (PMSM) drives caused by parameter mismatches between actual motor and ideal model in complex industrial environment, an improved model predictive voltage control (I-MPVC) approach without motor parameters is presented in this article. Unlike traditional MPVC where accurate motor parameters are heavily relied on, a motor parameter-independent (MPI) prediction model is constructed to eliminate parameter dependency. Firstly, an incremental voltage prediction model is developed where the influence of resistance and flux linkage mismatches is reduced. Then, an inductance parameter-independent (IPI) factor model, which solely relies on the current and voltage information, is further designed. Besides, the proposed approach takes lower computational complexity, as well as simpler parameter tuning steps, which offers significant benefits for real-time applications in industrial fields. Finally, experiments are conducted to validate the feasibility and superiority of the proposed approach.
无电机参数永磁同步电机的改进模型预测电压控制
针对复杂工业环境下,由于实际电机参数与理想模型不匹配导致永磁同步电机(PMSM)驱动性能下降的问题,提出了一种改进的无电机参数模型预测电压控制(I-MPVC)方法。与传统MPVC对电机参数的依赖不同,构建了电机参数无关(MPI)预测模型,消除了参数依赖性。首先,建立了一种减少电阻链和磁链不匹配影响的增量电压预测模型;然后,进一步设计了仅依赖电流和电压信息的电感参数无关(IPI)因子模型。此外,该方法具有较低的计算复杂度和较简单的参数调整步骤,为工业领域的实时应用提供了显著的好处。最后,通过实验验证了该方法的可行性和优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信