基于在线自整定速度控制器的PMSM驱动LEV改进模型参考自适应无传感器控制

Sumit Kumar, Bhim Singh
{"title":"基于在线自整定速度控制器的PMSM驱动LEV改进模型参考自适应无传感器控制","authors":"Sumit Kumar, Bhim Singh","doi":"10.1109/PEDES56012.2022.10080194","DOIUrl":null,"url":null,"abstract":"This paper presents a speed and position sensorless permanent magnet synchronous motor (PMSM) drive using simple and robust model reference adaptive control (MRAC) for light electric vehicle (LEV) application. The sensorless speed and position estimator consists the flux and torque based MRAC, which improves the performance during dynamic as well as steady state condition for wide range of speed operation. Mostly, PMSM drive uses field oriented control for the closed loop speed control operation. Generally, PI controller is used speed and current controller. However, the PI controller gain requirement often changes during various driving conditions of the vehicle. Therefore, this work is focused to eliminate fixed gain PI controller by utilizing online self-tuned PI speed controller and PMSM model based predictive current controller. The self-tuning approach of PI controller for the speed control loop uses the principle of adaptive interaction, which performs tuning by minimizing error objective function. The predictive current controller eliminates the need of modulator and incorporates the inverter nonlinearities. In addition to this, the sensorless approach reduces the complexity and cost of the drive. The combined system of improved controllers and sensorless estimator improves the drive performance for wide range of speed operation.","PeriodicalId":161541,"journal":{"name":"2022 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modified Model Reference Adaptive Sensorless Control of PMSM Driven LEV with Online Self-Tuning Speed Controller\",\"authors\":\"Sumit Kumar, Bhim Singh\",\"doi\":\"10.1109/PEDES56012.2022.10080194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a speed and position sensorless permanent magnet synchronous motor (PMSM) drive using simple and robust model reference adaptive control (MRAC) for light electric vehicle (LEV) application. The sensorless speed and position estimator consists the flux and torque based MRAC, which improves the performance during dynamic as well as steady state condition for wide range of speed operation. Mostly, PMSM drive uses field oriented control for the closed loop speed control operation. Generally, PI controller is used speed and current controller. However, the PI controller gain requirement often changes during various driving conditions of the vehicle. Therefore, this work is focused to eliminate fixed gain PI controller by utilizing online self-tuned PI speed controller and PMSM model based predictive current controller. The self-tuning approach of PI controller for the speed control loop uses the principle of adaptive interaction, which performs tuning by minimizing error objective function. The predictive current controller eliminates the need of modulator and incorporates the inverter nonlinearities. In addition to this, the sensorless approach reduces the complexity and cost of the drive. The combined system of improved controllers and sensorless estimator improves the drive performance for wide range of speed operation.\",\"PeriodicalId\":161541,\"journal\":{\"name\":\"2022 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PEDES56012.2022.10080194\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEDES56012.2022.10080194","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

本文提出了一种基于简单鲁棒模型参考自适应控制(MRAC)的无速度和位置传感器永磁同步电机(PMSM)驱动系统,用于轻型电动汽车(LEV)。无传感器的速度和位置估计器由基于磁链和转矩的MRAC组成,提高了系统在动态和稳态条件下的性能,适用于大范围的速度运行。大多数情况下,永磁同步电机驱动器采用磁场定向控制进行闭环速度控制操作。一般情况下,PI控制器采用速度和电流控制器。然而,在车辆不同的行驶工况下,PI控制器的增益要求经常发生变化。因此,本工作的重点是利用在线自调谐PI速度控制器和基于PMSM模型的预测电流控制器来消除固定增益PI控制器。速度控制环的PI控制器自整定方法采用自适应交互原理,通过最小化误差目标函数进行整定。预测电流控制器消除了对调制器的需要,并结合了逆变器的非线性特性。除此之外,无传感器的方法降低了驱动的复杂性和成本。改进的控制器和无传感器估计器的组合系统提高了大范围速度运行的驱动性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modified Model Reference Adaptive Sensorless Control of PMSM Driven LEV with Online Self-Tuning Speed Controller
This paper presents a speed and position sensorless permanent magnet synchronous motor (PMSM) drive using simple and robust model reference adaptive control (MRAC) for light electric vehicle (LEV) application. The sensorless speed and position estimator consists the flux and torque based MRAC, which improves the performance during dynamic as well as steady state condition for wide range of speed operation. Mostly, PMSM drive uses field oriented control for the closed loop speed control operation. Generally, PI controller is used speed and current controller. However, the PI controller gain requirement often changes during various driving conditions of the vehicle. Therefore, this work is focused to eliminate fixed gain PI controller by utilizing online self-tuned PI speed controller and PMSM model based predictive current controller. The self-tuning approach of PI controller for the speed control loop uses the principle of adaptive interaction, which performs tuning by minimizing error objective function. The predictive current controller eliminates the need of modulator and incorporates the inverter nonlinearities. In addition to this, the sensorless approach reduces the complexity and cost of the drive. The combined system of improved controllers and sensorless estimator improves the drive performance for wide range of speed operation.
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