A novel sliding mode control with MRAS inertia identification for permanent magnet synchronous motors

IF 1.3 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Measurement & Control Pub Date : 2023-09-22 DOI:10.1177/00202940231199998
Zhe Song, Xi Xiao, Jun Yang, Tao Tao, Xuesong Mei
{"title":"A novel sliding mode control with MRAS inertia identification for permanent magnet synchronous motors","authors":"Zhe Song, Xi Xiao, Jun Yang, Tao Tao, Xuesong Mei","doi":"10.1177/00202940231199998","DOIUrl":null,"url":null,"abstract":"To enhance the anti-inertia disturbance ability of permanent magnet synchronous motor (PMSM) speed system, an adaptive sliding mode control with inertia identification is proposed. A novel sliding mode control (NSMC) based on a new reaching law coupled with model reference adaptive system (MRAS) inertia identification is realized the adaptive control, named MRAS+NSMC. In the NSMC construct process, an integral sliding mode surface and a variable speed reaching law are introduced to avoid speed differentiation and improve dynamics, respectively. And the new reaching law imported a successive sigmoid( s) to replace the traditional sign( s) to suppress chattering phenomena. For the problem that the performance deteriorated by rotational inertia variation caused by load changes, the inertia is estimated in real time according to the MRAS theory, and the identification value is updated to the NSMC controller to realize adaptive MRAS+NSMC speed control. Experimental results show that the proposed adaptive MRAS+NSMC control has a faster speed response, and the speed response time is reduced from 85 to 49 ms compared with conventional SMC control. In addition, it has strong robustness to inertia disturbances and high speed tracking accuracy. Compared with conventional SMC, the speed tracking accuracy of proposed MRAS+NSMC is increased from 12% to 4%. This makes the proposed MRAS+NSMC control has great potential practical significance for speed control of PMSM.","PeriodicalId":49849,"journal":{"name":"Measurement & Control","volume":"18 1","pages":"0"},"PeriodicalIF":1.3000,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement & Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/00202940231199998","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

To enhance the anti-inertia disturbance ability of permanent magnet synchronous motor (PMSM) speed system, an adaptive sliding mode control with inertia identification is proposed. A novel sliding mode control (NSMC) based on a new reaching law coupled with model reference adaptive system (MRAS) inertia identification is realized the adaptive control, named MRAS+NSMC. In the NSMC construct process, an integral sliding mode surface and a variable speed reaching law are introduced to avoid speed differentiation and improve dynamics, respectively. And the new reaching law imported a successive sigmoid( s) to replace the traditional sign( s) to suppress chattering phenomena. For the problem that the performance deteriorated by rotational inertia variation caused by load changes, the inertia is estimated in real time according to the MRAS theory, and the identification value is updated to the NSMC controller to realize adaptive MRAS+NSMC speed control. Experimental results show that the proposed adaptive MRAS+NSMC control has a faster speed response, and the speed response time is reduced from 85 to 49 ms compared with conventional SMC control. In addition, it has strong robustness to inertia disturbances and high speed tracking accuracy. Compared with conventional SMC, the speed tracking accuracy of proposed MRAS+NSMC is increased from 12% to 4%. This makes the proposed MRAS+NSMC control has great potential practical significance for speed control of PMSM.
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
基于MRAS惯性辨识的永磁同步电机滑模控制
为了提高永磁同步电机调速系统的抗惯性扰动能力,提出了一种基于惯性辨识的自适应滑模控制方法。基于一种新的趋近律,结合模型参考自适应系统(MRAS)的惯性辨识,实现了一种新的滑模控制(NSMC),称为MRAS+NSMC。在NSMC构建过程中,分别引入积分滑模曲面和变速趋近律以避免速度微分和提高动力学性能。同时,新的到达法引入了连续的s型符号来代替传统的s型符号来抑制抖振现象。针对负载变化引起的转动惯量变化导致性能恶化的问题,根据MRAS理论实时估计惯量,并将辨识值更新到NSMC控制器中,实现自适应MRAS+NSMC速度控制。实验结果表明,所提出的自适应MRAS+NSMC控制具有更快的速度响应,与传统的SMC控制相比,速度响应时间从85 ms缩短到49 ms。此外,该方法对惯性扰动具有较强的鲁棒性和较高的跟踪精度。与传统SMC相比,MRAS+NSMC的速度跟踪精度从12%提高到4%。这使得所提出的MRAS+NSMC控制对永磁同步电机的速度控制具有潜在的实际意义。
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
Measurement & Control
Measurement & Control 工程技术-仪器仪表
自引率
10.00%
发文量
164
审稿时长
>12 weeks
期刊介绍: Measurement and Control publishes peer-reviewed practical and technical research and news pieces from both the science and engineering industry and academia. Whilst focusing more broadly on topics of relevance for practitioners in instrumentation and control, the journal also includes updates on both product and business announcements and information on technical advances.
期刊最新文献
Vibration errors compensation method based on self-feature registration for the 3-D dynamic measurement of metallic sealing ring forming surface Research on imperfect condition-based maintenance strategy based on accelerated degradation process A robot path planning method using improved Harris Hawks optimization algorithm Super-twisting sliding mode finite time control of power-line inspection robot with external disturbances and input delays Research on a novel fault diagnosis method for gearbox based on matrix distance feature
×
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