{"title":"基于霍尔效应传感器和MEMS加速度计的直线同步电机位置估计","authors":"L. Baghli, B. Khouane","doi":"10.1109/ICOSC.2013.6750978","DOIUrl":null,"url":null,"abstract":"This paper presents different methods to estimate the position in order to control a permanent magnet linear synchronous motor (MSlin). This MSlin has Hall-effect sensors that give the position by stepwise and a MEMS accelerometer that tracks the absolute acceleration. In order to improve the resolution of the sensors taken individually, we propose to combine their data to obtain an accurate position of the moving part. Simulation and preliminary experimental results are presented and commented.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Position estimation of linear synchronous motor using Hall-effect sensors and a MEMS accelerometer\",\"authors\":\"L. Baghli, B. Khouane\",\"doi\":\"10.1109/ICOSC.2013.6750978\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents different methods to estimate the position in order to control a permanent magnet linear synchronous motor (MSlin). This MSlin has Hall-effect sensors that give the position by stepwise and a MEMS accelerometer that tracks the absolute acceleration. In order to improve the resolution of the sensors taken individually, we propose to combine their data to obtain an accurate position of the moving part. Simulation and preliminary experimental results are presented and commented.\",\"PeriodicalId\":199135,\"journal\":{\"name\":\"3rd International Conference on Systems and Control\",\"volume\":\"103 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"3rd International Conference on Systems and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSC.2013.6750978\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"3rd International Conference on Systems and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSC.2013.6750978","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Position estimation of linear synchronous motor using Hall-effect sensors and a MEMS accelerometer
This paper presents different methods to estimate the position in order to control a permanent magnet linear synchronous motor (MSlin). This MSlin has Hall-effect sensors that give the position by stepwise and a MEMS accelerometer that tracks the absolute acceleration. In order to improve the resolution of the sensors taken individually, we propose to combine their data to obtain an accurate position of the moving part. Simulation and preliminary experimental results are presented and commented.