基于协同-超扭转算法的感应电机磁场定向控制

Dalal Zellouma, H. Benbouhenni, N. Bizon, Y. Bekakra
{"title":"基于协同-超扭转算法的感应电机磁场定向控制","authors":"Dalal Zellouma, H. Benbouhenni, N. Bizon, Y. Bekakra","doi":"10.1109/ECAI58194.2023.10193989","DOIUrl":null,"url":null,"abstract":"In this work, a new field-oriented control (FOC) is proposed to control the induction motor drives. The FOC method stands out because of its use, simplicity, and fast dynamic speed. However, there are disadvantages to this strategy. One of its disadvantages is that there are ripples in the torque, flux, and levels at present. In addition, the current has a high total harmonic distortion value in comparison to non-linear control. The super-twisting algorithm and synergetic control are strategies of non-linear control, a novel solution is offered to address these issues and enhance the performance and effectiveness of this approach to total harmonic distortion, which is proposed and employed in the conventional FOC strategy to minimize the ripples of current, torque, and total harmonic distortion. To simulate the proposed strategy of IM drive, Matlab software has been used. Comparison results between the suggested control and a traditional FOC technique can illustrate the proposed control greatly improved performance and robustness.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A New Field-Oriented Control for Induction Motor Drive Using a Synergetic-Super Twisting Algorithm\",\"authors\":\"Dalal Zellouma, H. Benbouhenni, N. Bizon, Y. Bekakra\",\"doi\":\"10.1109/ECAI58194.2023.10193989\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, a new field-oriented control (FOC) is proposed to control the induction motor drives. The FOC method stands out because of its use, simplicity, and fast dynamic speed. However, there are disadvantages to this strategy. One of its disadvantages is that there are ripples in the torque, flux, and levels at present. In addition, the current has a high total harmonic distortion value in comparison to non-linear control. The super-twisting algorithm and synergetic control are strategies of non-linear control, a novel solution is offered to address these issues and enhance the performance and effectiveness of this approach to total harmonic distortion, which is proposed and employed in the conventional FOC strategy to minimize the ripples of current, torque, and total harmonic distortion. To simulate the proposed strategy of IM drive, Matlab software has been used. Comparison results between the suggested control and a traditional FOC technique can illustrate the proposed control greatly improved performance and robustness.\",\"PeriodicalId\":391483,\"journal\":{\"name\":\"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECAI58194.2023.10193989\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECAI58194.2023.10193989","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了一种新的磁场定向控制(FOC)方法来控制感应电机的驱动。FOC方法因其易用性、简单性和快速的动态速度而脱颖而出。然而,这种策略也有缺点。它的缺点之一是目前在转矩、磁通和电平中存在波纹。此外,与非线性控制相比,电流具有较高的总谐波失真值。超扭转算法和协同控制是非线性控制策略,为解决这些问题提供了一种新的解决方案,提高了该方法对总谐波畸变的性能和有效性,并将其应用于传统的FOC策略中,以最小化电流、转矩和总谐波畸变的波纹。采用Matlab软件对所提出的IM驱动策略进行仿真。将该控制方法与传统的FOC方法进行了比较,结果表明该控制方法大大提高了控制性能和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Field-Oriented Control for Induction Motor Drive Using a Synergetic-Super Twisting Algorithm
In this work, a new field-oriented control (FOC) is proposed to control the induction motor drives. The FOC method stands out because of its use, simplicity, and fast dynamic speed. However, there are disadvantages to this strategy. One of its disadvantages is that there are ripples in the torque, flux, and levels at present. In addition, the current has a high total harmonic distortion value in comparison to non-linear control. The super-twisting algorithm and synergetic control are strategies of non-linear control, a novel solution is offered to address these issues and enhance the performance and effectiveness of this approach to total harmonic distortion, which is proposed and employed in the conventional FOC strategy to minimize the ripples of current, torque, and total harmonic distortion. To simulate the proposed strategy of IM drive, Matlab software has been used. Comparison results between the suggested control and a traditional FOC technique can illustrate the proposed control greatly improved performance and robustness.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信