{"title":"基于神经网络的双面开关磁阻电机磁场和电感建模","authors":"S. Ozden, G. Manav, M. Dursun","doi":"10.1109/ICEEE2.2018.8391316","DOIUrl":null,"url":null,"abstract":"In this study, ANN based magnetic field modeling has been experimentally achieved for Double Sided Linear Switched Reluctance Motor (DLSRM) with 6/4 poles, 3 phases, 250W. Inductance modeling profile overlaps magnetic field data was obtained from hall-effect sensor. It is important that estimation inductance value against phase current and motor position due to main factors of the propulsion force. The precise inductance modeling helps to overcome DLSRM nonlinearity characteristic. In addition, the model is useful for controlling motor such as adaptive control methods, new developed force control methods, position control without sensor to be able removing some parts and becoming simplicity of control algorithms.","PeriodicalId":6482,"journal":{"name":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","volume":"45 1","pages":"133-137"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"ANN based magnetic field and inductance modeling of double sided linear switched reluctance motor\",\"authors\":\"S. Ozden, G. Manav, M. Dursun\",\"doi\":\"10.1109/ICEEE2.2018.8391316\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, ANN based magnetic field modeling has been experimentally achieved for Double Sided Linear Switched Reluctance Motor (DLSRM) with 6/4 poles, 3 phases, 250W. Inductance modeling profile overlaps magnetic field data was obtained from hall-effect sensor. It is important that estimation inductance value against phase current and motor position due to main factors of the propulsion force. The precise inductance modeling helps to overcome DLSRM nonlinearity characteristic. In addition, the model is useful for controlling motor such as adaptive control methods, new developed force control methods, position control without sensor to be able removing some parts and becoming simplicity of control algorithms.\",\"PeriodicalId\":6482,\"journal\":{\"name\":\"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)\",\"volume\":\"45 1\",\"pages\":\"133-137\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEEE2.2018.8391316\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEE2.2018.8391316","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ANN based magnetic field and inductance modeling of double sided linear switched reluctance motor
In this study, ANN based magnetic field modeling has been experimentally achieved for Double Sided Linear Switched Reluctance Motor (DLSRM) with 6/4 poles, 3 phases, 250W. Inductance modeling profile overlaps magnetic field data was obtained from hall-effect sensor. It is important that estimation inductance value against phase current and motor position due to main factors of the propulsion force. The precise inductance modeling helps to overcome DLSRM nonlinearity characteristic. In addition, the model is useful for controlling motor such as adaptive control methods, new developed force control methods, position control without sensor to be able removing some parts and becoming simplicity of control algorithms.
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