Sensorless Control of Low Speed PMSM Based on Novel Sliding Mode Observer

Shi Jin, Jiawei Gu, Wuhen Jin, Zhaoyu Zhang, Feng Zhang
{"title":"Sensorless Control of Low Speed PMSM Based on Novel Sliding Mode Observer","authors":"Shi Jin, Jiawei Gu, Wuhen Jin, Zhaoyu Zhang, Feng Zhang","doi":"10.1109/CIEEC50170.2021.9510713","DOIUrl":null,"url":null,"abstract":"This paper presents a novel sliding mode observer (SMO) based on the permanent magnet flux linkage of permanent magnet synchronous motor (PMSM). The stability of the proposed SMO is further proved with the Lyapunov function. As the sliding mode gain required by the proposed SMO to satisfy the stability condition is much smaller than the traditional back-electromotive force based SMO, the proposed SMO effectively weakens chattering and avoids the use of low-pass filter, delivers higher precision of position and speed estimation in low speed. A linear extended state observer (LESO) is incorporated into the quadrature phase locked loop (Q-PLL) to achieve better dynamic performance under large load torque. Finally, the proposed sensorless control strategy is tested in MATLAB/Simulink for its speed tracking capability under low speed. Simulation results validate the feasibility and effectiveness of the proposed sensorless control strategy.","PeriodicalId":110429,"journal":{"name":"2021 IEEE 4th International Electrical and Energy Conference (CIEEC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 4th International Electrical and Energy Conference (CIEEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIEEC50170.2021.9510713","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This paper presents a novel sliding mode observer (SMO) based on the permanent magnet flux linkage of permanent magnet synchronous motor (PMSM). The stability of the proposed SMO is further proved with the Lyapunov function. As the sliding mode gain required by the proposed SMO to satisfy the stability condition is much smaller than the traditional back-electromotive force based SMO, the proposed SMO effectively weakens chattering and avoids the use of low-pass filter, delivers higher precision of position and speed estimation in low speed. A linear extended state observer (LESO) is incorporated into the quadrature phase locked loop (Q-PLL) to achieve better dynamic performance under large load torque. Finally, the proposed sensorless control strategy is tested in MATLAB/Simulink for its speed tracking capability under low speed. Simulation results validate the feasibility and effectiveness of the proposed sensorless control strategy.
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
基于新型滑模观测器的低速永磁同步电机无传感器控制
提出了一种基于永磁同步电动机永磁链的新型滑模观测器。利用Lyapunov函数进一步证明了SMO的稳定性。由于满足稳定性条件所需的滑模增益远小于传统的基于反电动势的SMO,因此该SMO有效地减弱了抖振,避免了低通滤波器的使用,在低速下提供了更高的位置和速度估计精度。在正交锁相环(Q-PLL)中加入线性扩展状态观测器(LESO),以在大负载转矩下获得更好的动态性能。最后,在MATLAB/Simulink中测试了所提出的无传感器控制策略在低速下的速度跟踪能力。仿真结果验证了所提无传感器控制策略的可行性和有效性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Simulation analysis of fuel economy of a fuel cell/battery passive hybrid power system for commercial vehicles Analysis of Measuring Distribution Electrical Parameters of Current Transformer Using Impedance Analyzer Pre-Synchronization Control Strategy for Grid Connection of Synchronverter Cluster Research on Characteristics Analysis and Suppression Method of Short Circuit Fault of Coaxial Cable in Electromagnetic Launch Impacts of Solar Penetration on Short-Term Net Load Forecasting at the Distribution Level
×
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