Improved model-free synergetic control of permanent magnet synchronous motor using unknown input observer

Xiaodong Wang, Changyin Wei, Yong Chen, Qiang Ma
{"title":"Improved model-free synergetic control of permanent magnet synchronous motor using unknown input observer","authors":"Xiaodong Wang, Changyin Wei, Yong Chen, Qiang Ma","doi":"10.1177/00202940241229927","DOIUrl":null,"url":null,"abstract":"Parametric uncertainties and inverter nonlinearity exist in the permanent magnet synchronous motor (PMSM) drive system, which may lead to performance degradation or failure of model-based control. This paper presents an enhanced model-free synergetic control method for PMSMs, addressing the limitations of relying on accurate motor models in existing speed control strategies. The proposed approach aims to achieve robust control performance in the presence of parameter perturbations without the need for an accurate motor model. Firstly, a new ultra-local model of the speed loop for the PMSM is established based on a newly developed ultra-local theory. Subsequently, a model-free synergetic controller is designed using the principles of synergetic control theory. To address the issue of output chattering in the sliding mode observer used to estimate the unknown part of the ultra-local model, a synergetic observer method is proposed. Simulation results are presented and compared with those obtained using a proportional-integral (PI) controller and a conventional model-free sliding mode controller. The results demonstrate that the model-free synergetic controller exhibits robust performance and provides accurate estimation of the unknown part without output chattering.","PeriodicalId":510299,"journal":{"name":"Measurement and Control","volume":"30 11","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/00202940241229927","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

Parametric uncertainties and inverter nonlinearity exist in the permanent magnet synchronous motor (PMSM) drive system, which may lead to performance degradation or failure of model-based control. This paper presents an enhanced model-free synergetic control method for PMSMs, addressing the limitations of relying on accurate motor models in existing speed control strategies. The proposed approach aims to achieve robust control performance in the presence of parameter perturbations without the need for an accurate motor model. Firstly, a new ultra-local model of the speed loop for the PMSM is established based on a newly developed ultra-local theory. Subsequently, a model-free synergetic controller is designed using the principles of synergetic control theory. To address the issue of output chattering in the sliding mode observer used to estimate the unknown part of the ultra-local model, a synergetic observer method is proposed. Simulation results are presented and compared with those obtained using a proportional-integral (PI) controller and a conventional model-free sliding mode controller. The results demonstrate that the model-free synergetic controller exhibits robust performance and provides accurate estimation of the unknown part without output chattering.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用未知输入观测器改进永磁同步电机的无模型协同控制
永磁同步电机(PMSM)驱动系统中存在参数不确定性和逆变器非线性,这可能导致基于模型的控制性能下降或失效。本文提出了一种针对 PMSM 的增强型无模型协同控制方法,解决了现有速度控制策略中依赖精确电机模型的局限性。所提出的方法旨在无需精确的电机模型即可在存在参数扰动的情况下实现稳健的控制性能。首先,基于新开发的超局部理论,建立了 PMSM 速度环的新超局部模型。随后,利用协同控制理论的原理设计了无模型协同控制器。为了解决用于估计超局部模型未知部分的滑模观测器中的输出颤振问题,提出了一种协同观测器方法。文中给出了仿真结果,并将其与使用比例积分(PI)控制器和传统无模型滑模控制器获得的结果进行了比较。结果表明,无模型协同控制器性能稳健,能准确估计未知部分,且无输出抖动。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Investigating math education in reducing math anxiety with the help of Data Envelopment Analysis Optimal control technique applied to the minimization of uncertainty measurements in surveying instruments Development of motion control function library based on PLCopen specification Tillage depth dynamic monitoring and precise control system Semantic mapping techniques for indoor mobile robots: Review and prospect
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1