Grey control strategy of predictive current for PMSM

Rong Zhang, Guangzhao Luo, Wencong Tu, Zhe Chen, R. Kennel
{"title":"Grey control strategy of predictive current for PMSM","authors":"Rong Zhang, Guangzhao Luo, Wencong Tu, Zhe Chen, R. Kennel","doi":"10.1109/ICIEA.2016.7603992","DOIUrl":null,"url":null,"abstract":"In this paper, to further improve the performance of dynamic and anti-interference of the permanent magnet synchronous motor (PMSM) control system, the grey control strategy of predictive current for PMSM is proposed by analyzing the characteristics of the actual current response in control system and making full use of historical current data to adjust the current value quickly to follow the change of the given value. The off-line simulation is carried out in condition of rated load and sudden load. Compared with the classical vector control and traditional predictive current control, the proposed algorithm reaches the given speed rapidly and has the performance of good response and small overshoot. It also has the better dynamic and anti-interference performance. To further verify the effectiveness of the proposed control strategy, the real-time simulation of the proposed algorithm is carried out by dSPACE system.","PeriodicalId":283114,"journal":{"name":"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2016.7603992","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

In this paper, to further improve the performance of dynamic and anti-interference of the permanent magnet synchronous motor (PMSM) control system, the grey control strategy of predictive current for PMSM is proposed by analyzing the characteristics of the actual current response in control system and making full use of historical current data to adjust the current value quickly to follow the change of the given value. The off-line simulation is carried out in condition of rated load and sudden load. Compared with the classical vector control and traditional predictive current control, the proposed algorithm reaches the given speed rapidly and has the performance of good response and small overshoot. It also has the better dynamic and anti-interference performance. To further verify the effectiveness of the proposed control strategy, the real-time simulation of the proposed algorithm is carried out by dSPACE system.
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
永磁同步电机预测电流的灰色控制策略
为了进一步提高永磁同步电机(PMSM)控制系统的动态性和抗干扰性,本文通过分析控制系统实际电流响应的特点,充分利用历史电流数据,根据给定值的变化快速调整电流值,提出了PMSM预测电流的灰色控制策略。在额定负载和突然负载情况下进行了离线仿真。与经典的矢量控制和传统的预测电流控制相比,该算法快速达到给定速度,具有响应好、超调小的特点。具有较好的动态性能和抗干扰性能。为了进一步验证所提控制策略的有效性,利用dSPACE系统对所提算法进行了实时仿真。
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
The electric power source structure optimization based on capital investment efficiency Modeling, control and implementation of high step-up ratio IDDB converters for fuel cell applications Research of heat transfer characteristic for PMSM with two-way ventilation structure Experimental researches on the novel single-phase induction motor Adaptive similarity fusion strategy in stereo matching algorithm
×
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