Sensorless control for IPMSMs based on a multilayer discrete-time sliding-mode observer

Yue Zhao, W. Qiao, Long Wu
{"title":"Sensorless control for IPMSMs based on a multilayer discrete-time sliding-mode observer","authors":"Yue Zhao, W. Qiao, Long Wu","doi":"10.1109/ECCE.2012.6342595","DOIUrl":null,"url":null,"abstract":"Because of the high robustness to system structure and parameter uncertainties, discrete-time sliding-mode observer (DSMO) has become a promising candidate for sensorless digital control of interior permanent magnet synchronous machines (IPMSMs). However, it is challenging to achieve fully sliding mode under a low sampling frequency, especially for high speed and heavy load applications. In order to overcome this problem, a multilayer DSMO is proposed to estimate the rotor position from the extended back electromagnetic force (EMF). To guarantee a fast response to speed and torque variations, the width of the boundary layer of the DSMO is designed to be adaptive to speed and torque variations. A parameter adaption scheme based on control law and sliding-mode dynamics is proposed for selecting the width of the boundary layer and the observer gain. The proposed multilayer DSMO is validated by simulations and experimental results on a 150 kW IPMSM drive system used for hybrid electric vehicles.","PeriodicalId":6401,"journal":{"name":"2012 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"11 1","pages":"1788-1795"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Energy Conversion Congress and Exposition (ECCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECCE.2012.6342595","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

Because of the high robustness to system structure and parameter uncertainties, discrete-time sliding-mode observer (DSMO) has become a promising candidate for sensorless digital control of interior permanent magnet synchronous machines (IPMSMs). However, it is challenging to achieve fully sliding mode under a low sampling frequency, especially for high speed and heavy load applications. In order to overcome this problem, a multilayer DSMO is proposed to estimate the rotor position from the extended back electromagnetic force (EMF). To guarantee a fast response to speed and torque variations, the width of the boundary layer of the DSMO is designed to be adaptive to speed and torque variations. A parameter adaption scheme based on control law and sliding-mode dynamics is proposed for selecting the width of the boundary layer and the observer gain. The proposed multilayer DSMO is validated by simulations and experimental results on a 150 kW IPMSM drive system used for hybrid electric vehicles.
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
基于多层离散滑模观测器的ipmms无传感器控制
离散滑模观测器由于对系统结构和参数不确定性具有较强的鲁棒性,已成为内部永磁同步电机(IPMSMs)无传感器数字控制的理想选择。然而,在低采样频率下实现完全滑模是具有挑战性的,特别是在高速和重载应用中。为了克服这一问题,提出了一种基于扩展反电磁力的多层DSMO来估计转子位置。为了保证对速度和转矩变化的快速响应,设计了自适应速度和转矩变化的边界层宽度。针对边界层宽度和观测器增益的选择,提出了一种基于控制律和滑模动力学的参数自适应方案。并在150kw混合动力汽车IPMSM驱动系统上进行了仿真和实验验证。
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
Alternative excitation strategies for a wound rotor synchronous machine drive Design of LCL filters in consideration of parameter variations for grid-connected converters Design, modelling and testing of a high speed induction machine drive A modified Boost topology with simultaneous AC and DC load Optimal zero-vector configuration for space vector modulated AC-DC matrix converter
×
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