永磁同步电机驱动系统的最大效率控制和预测速度控制器设计

IF 1.9 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Frontiers in electronics Pub Date : 2022-09-01 DOI:10.3389/felec.2022.904976
Tian‐Hua Liu, Yuxuan Zhuang
{"title":"永磁同步电机驱动系统的最大效率控制和预测速度控制器设计","authors":"Tian‐Hua Liu, Yuxuan Zhuang","doi":"10.3389/felec.2022.904976","DOIUrl":null,"url":null,"abstract":"Improving the efficiency of home appliances is an important area of research these days, especially for global warming and climate change. To achieve this goal, in this paper, a new method to improve the maximum efficiency control of an interior permanent magnet synchronous motor (IPMSM) drive system, which includes an IPMSM and an inverter, is investigated. By suitably controlling the d-axis current, the IPMSM drive system can quickly reach its maximum efficiency. A steepest ascent method is used to obviously reduce the searching steps of the maximum efficiency tracking control for an IPMSM. According to experimental results, by using the traditional fixed step method, 14 steps are required to reach the maximum efficiency operating point. By using the proposed steepest ascent method, however, only 4 steps are needed to reach the maximum efficiency operating point. In addition, according to the experimental results, during the transient dynamics, the predictive controller obtains faster responses and 2% lower overshoot than the PI controller. Moreover, during adding external load, the predictive controller has only a 10 r/min speed drop and 0.1 s recover time; however, the PI controller has a 40 r/min speed drop and 0.3 s recover time. Experimental results can validate theoretical analysis. Several measured results show when compared to the fix-step searching method with a PI controller, the proposed methods provide quicker searching maximum efficiency ability, quicker and better dynamic transient responses, and lower speed drop when an external load is added.","PeriodicalId":73081,"journal":{"name":"Frontiers in electronics","volume":" ","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Maximum efficiency control and predictive-speed controller design for interior permanent magnet synchronous motor drive systems\",\"authors\":\"Tian‐Hua Liu, Yuxuan Zhuang\",\"doi\":\"10.3389/felec.2022.904976\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Improving the efficiency of home appliances is an important area of research these days, especially for global warming and climate change. To achieve this goal, in this paper, a new method to improve the maximum efficiency control of an interior permanent magnet synchronous motor (IPMSM) drive system, which includes an IPMSM and an inverter, is investigated. By suitably controlling the d-axis current, the IPMSM drive system can quickly reach its maximum efficiency. A steepest ascent method is used to obviously reduce the searching steps of the maximum efficiency tracking control for an IPMSM. According to experimental results, by using the traditional fixed step method, 14 steps are required to reach the maximum efficiency operating point. By using the proposed steepest ascent method, however, only 4 steps are needed to reach the maximum efficiency operating point. In addition, according to the experimental results, during the transient dynamics, the predictive controller obtains faster responses and 2% lower overshoot than the PI controller. Moreover, during adding external load, the predictive controller has only a 10 r/min speed drop and 0.1 s recover time; however, the PI controller has a 40 r/min speed drop and 0.3 s recover time. Experimental results can validate theoretical analysis. Several measured results show when compared to the fix-step searching method with a PI controller, the proposed methods provide quicker searching maximum efficiency ability, quicker and better dynamic transient responses, and lower speed drop when an external load is added.\",\"PeriodicalId\":73081,\"journal\":{\"name\":\"Frontiers in electronics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/felec.2022.904976\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/felec.2022.904976","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 1

摘要

提高家用电器的效率是当今研究的一个重要领域,尤其是在全球变暖和气候变化的情况下。为了实现这一目标,本文研究了一种改进内部永磁同步电机(IPMSM)驱动系统最大效率控制的新方法,该系统包括IPMSM和逆变器。通过适当控制d轴电流,IPMSM驱动系统可以快速达到其最大效率。针对IPMSM,采用最陡上升法,明显减少了最大效率跟踪控制的搜索步长。根据实验结果,使用传统的固定步长方法,需要14个步长才能达到最大效率操作点。然而,通过使用所提出的最陡上升方法,只需要4个步骤就可以达到最大效率操作点。此外,根据实验结果,在瞬态动力学过程中,预测控制器比PI控制器获得更快的响应和2%的超调。此外,在添加外部负载时,预测控制器只有10r/min的速度下降和0.1s的恢复时间;然而,PI控制器具有40r/min的速度下降和0.3s的恢复时间。实验结果可以验证理论分析的正确性。几项测量结果表明,与带有PI控制器的固定步长搜索方法相比,所提出的方法具有更快的搜索最大效率能力、更快更好的动态瞬态响应以及在添加外部负载时更低的速度降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Maximum efficiency control and predictive-speed controller design for interior permanent magnet synchronous motor drive systems
Improving the efficiency of home appliances is an important area of research these days, especially for global warming and climate change. To achieve this goal, in this paper, a new method to improve the maximum efficiency control of an interior permanent magnet synchronous motor (IPMSM) drive system, which includes an IPMSM and an inverter, is investigated. By suitably controlling the d-axis current, the IPMSM drive system can quickly reach its maximum efficiency. A steepest ascent method is used to obviously reduce the searching steps of the maximum efficiency tracking control for an IPMSM. According to experimental results, by using the traditional fixed step method, 14 steps are required to reach the maximum efficiency operating point. By using the proposed steepest ascent method, however, only 4 steps are needed to reach the maximum efficiency operating point. In addition, according to the experimental results, during the transient dynamics, the predictive controller obtains faster responses and 2% lower overshoot than the PI controller. Moreover, during adding external load, the predictive controller has only a 10 r/min speed drop and 0.1 s recover time; however, the PI controller has a 40 r/min speed drop and 0.3 s recover time. Experimental results can validate theoretical analysis. Several measured results show when compared to the fix-step searching method with a PI controller, the proposed methods provide quicker searching maximum efficiency ability, quicker and better dynamic transient responses, and lower speed drop when an external load is added.
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
期刊最新文献
A new e-health cloud-based system for cardiovascular risk assessment EMI challenges in modern power electronic-based converters: recent advances and mitigation techniques Two-dimensional semiconductors based field-effect transistors: review of major milestones and challenges Measurement and analysis of the electromagnetic environment in 500 kV back-to-back converter stations Editorial: Re-electrification technology and application of the energy consumption terminal
×
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