{"title":"Mathematical modeling and fuzzy logic control of a brushless DC motor employed in automobile and industrial applications","authors":"Bapayya Naidu Kommula, Venkata Reddy Kota","doi":"10.1109/CMI.2016.7413763","DOIUrl":null,"url":null,"abstract":"Brushless DC motors (BLDCM) are most popular because of their higher efficiency, less maintenance and precise control characteristics. However, this motor has nonlinear nature and can be affected easily by the parameter change and disruption. For any automobile and industrial applications, it is essential to govern the speed accurately. Because of their fixed gain values, high peak overshoot and high settling time the conventional PI controllers are inadequate to control this motor accurately. In this paper, to resolve the complications coupled with the typical PI, Fuzzy Logic Controller (FLC) is intended to eradicate the overshoot and to produce fast speed response of motor. The mathematical modeling of BLDCM along with the controller has been deduced for a 10 kW BLDC motor. The simulations are done in Matlab/Simulink environment for validating characteristics of FLC.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMI.2016.7413763","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
Brushless DC motors (BLDCM) are most popular because of their higher efficiency, less maintenance and precise control characteristics. However, this motor has nonlinear nature and can be affected easily by the parameter change and disruption. For any automobile and industrial applications, it is essential to govern the speed accurately. Because of their fixed gain values, high peak overshoot and high settling time the conventional PI controllers are inadequate to control this motor accurately. In this paper, to resolve the complications coupled with the typical PI, Fuzzy Logic Controller (FLC) is intended to eradicate the overshoot and to produce fast speed response of motor. The mathematical modeling of BLDCM along with the controller has been deduced for a 10 kW BLDC motor. The simulations are done in Matlab/Simulink environment for validating characteristics of FLC.
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