{"title":"基于凸极永磁同步电机转子位置误差的无传感器滑模观测器","authors":"V. C. Ilioudis, N. Margaris","doi":"10.1109/MED.2009.5164762","DOIUrl":null,"url":null,"abstract":"This paper introduces a new simple sensorless algorithm of estimating the Permanent Magnet Synchronous Motor (PMSM) speed and position. The proposed estimation method is implemented using a stator flux/current and a modified back Electromotive Force (EMF) observer connected in cascade. The flux/current observer based on sliding mode techniques ensures stator currents convergence while the modified back EMF observer provides accurate rotor position estimation at a wide range of motor speeds. An adaptive stator resistance observer is embedded in the flux/current Sliding Mode Observer (SMO) and improves the overall observation system convergence. Simulation results show good properties of the proposed estimation approach.","PeriodicalId":422386,"journal":{"name":"2009 17th Mediterranean Conference on Control and Automation","volume":"118 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Sensorless Sliding Mode Observer based on rotor position error for salient-pole PMSM\",\"authors\":\"V. C. Ilioudis, N. Margaris\",\"doi\":\"10.1109/MED.2009.5164762\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a new simple sensorless algorithm of estimating the Permanent Magnet Synchronous Motor (PMSM) speed and position. The proposed estimation method is implemented using a stator flux/current and a modified back Electromotive Force (EMF) observer connected in cascade. The flux/current observer based on sliding mode techniques ensures stator currents convergence while the modified back EMF observer provides accurate rotor position estimation at a wide range of motor speeds. An adaptive stator resistance observer is embedded in the flux/current Sliding Mode Observer (SMO) and improves the overall observation system convergence. Simulation results show good properties of the proposed estimation approach.\",\"PeriodicalId\":422386,\"journal\":{\"name\":\"2009 17th Mediterranean Conference on Control and Automation\",\"volume\":\"118 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 17th Mediterranean Conference on Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MED.2009.5164762\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 17th Mediterranean Conference on Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED.2009.5164762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sensorless Sliding Mode Observer based on rotor position error for salient-pole PMSM
This paper introduces a new simple sensorless algorithm of estimating the Permanent Magnet Synchronous Motor (PMSM) speed and position. The proposed estimation method is implemented using a stator flux/current and a modified back Electromotive Force (EMF) observer connected in cascade. The flux/current observer based on sliding mode techniques ensures stator currents convergence while the modified back EMF observer provides accurate rotor position estimation at a wide range of motor speeds. An adaptive stator resistance observer is embedded in the flux/current Sliding Mode Observer (SMO) and improves the overall observation system convergence. Simulation results show good properties of the proposed estimation approach.