{"title":"感应电机驱动的二阶滑模MRAS速度估计器设计","authors":"J. Orr, Brandon Murray, M. Comanescu","doi":"10.1109/PECI.2016.7459239","DOIUrl":null,"url":null,"abstract":"The paper presents a speed estimation method for the induction motor (IM) drive. The speed is obtained using the Model Reference Adaptive System (MRAS) principle and is based on a second order sliding mode (SM) observer. First, the stationary frame fluxes of the IM are obtained using a Voltage Model Observer - this is based on the stator equations (which do not depend on speed) and serves as the reference model. The adjustable model re-estimates the fluxes and is made to match the reference model by adapting the speed - specifically, the speed estimate is a second order sliding mode term. The method is relatively simple and is not computationally intensive. The paper shows the implementation by first order sliding mode and also by second-order sliding mode. The speed estimate is obtained by filtering a switching term. The speed estimate is accurate and robust; when the second-order SM approach is used, it is obtained using minimal filtering only.","PeriodicalId":359438,"journal":{"name":"2016 IEEE Power and Energy Conference at Illinois (PECI)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Design of a second-order sliding mode MRAS speed estimator for the induction motor drive\",\"authors\":\"J. Orr, Brandon Murray, M. Comanescu\",\"doi\":\"10.1109/PECI.2016.7459239\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a speed estimation method for the induction motor (IM) drive. The speed is obtained using the Model Reference Adaptive System (MRAS) principle and is based on a second order sliding mode (SM) observer. First, the stationary frame fluxes of the IM are obtained using a Voltage Model Observer - this is based on the stator equations (which do not depend on speed) and serves as the reference model. The adjustable model re-estimates the fluxes and is made to match the reference model by adapting the speed - specifically, the speed estimate is a second order sliding mode term. The method is relatively simple and is not computationally intensive. The paper shows the implementation by first order sliding mode and also by second-order sliding mode. The speed estimate is obtained by filtering a switching term. The speed estimate is accurate and robust; when the second-order SM approach is used, it is obtained using minimal filtering only.\",\"PeriodicalId\":359438,\"journal\":{\"name\":\"2016 IEEE Power and Energy Conference at Illinois (PECI)\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Power and Energy Conference at Illinois (PECI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PECI.2016.7459239\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Power and Energy Conference at Illinois (PECI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PECI.2016.7459239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of a second-order sliding mode MRAS speed estimator for the induction motor drive
The paper presents a speed estimation method for the induction motor (IM) drive. The speed is obtained using the Model Reference Adaptive System (MRAS) principle and is based on a second order sliding mode (SM) observer. First, the stationary frame fluxes of the IM are obtained using a Voltage Model Observer - this is based on the stator equations (which do not depend on speed) and serves as the reference model. The adjustable model re-estimates the fluxes and is made to match the reference model by adapting the speed - specifically, the speed estimate is a second order sliding mode term. The method is relatively simple and is not computationally intensive. The paper shows the implementation by first order sliding mode and also by second-order sliding mode. The speed estimate is obtained by filtering a switching term. The speed estimate is accurate and robust; when the second-order SM approach is used, it is obtained using minimal filtering only.