{"title":"基于智能控制器的感应式无刷直流电动机数学建模与速度控制","authors":"A. Kiruthika, A. Rajan, P. Rajalakshmi","doi":"10.1109/ICE-CCN.2013.6528495","DOIUrl":null,"url":null,"abstract":"Brushless DC motor are rapidly gaining popularity due to its high efficiency and accurate control characteristics. For any industrial and domestic application it is necessary to control the speed accurately. The drawbacks of the conventional PID controllers for the speed control can be minimized using Fuzzy PID controller. This paper aims at the design of Fuzzy PID controller for a BLDC motor inorder to dynamically update the parameters of PID controller. The mathematical modelling of the motor along with the controller is derived for the specific BLDC motor. The simulation is done on MATLAB/SIMULINK environment to verify the control characteristics of the Fuzzy PID controller.","PeriodicalId":286830,"journal":{"name":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","volume":"35 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Mathematical modelling and speed control of a sensored brushless DC motor using intelligent controller\",\"authors\":\"A. Kiruthika, A. Rajan, P. Rajalakshmi\",\"doi\":\"10.1109/ICE-CCN.2013.6528495\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Brushless DC motor are rapidly gaining popularity due to its high efficiency and accurate control characteristics. For any industrial and domestic application it is necessary to control the speed accurately. The drawbacks of the conventional PID controllers for the speed control can be minimized using Fuzzy PID controller. This paper aims at the design of Fuzzy PID controller for a BLDC motor inorder to dynamically update the parameters of PID controller. The mathematical modelling of the motor along with the controller is derived for the specific BLDC motor. The simulation is done on MATLAB/SIMULINK environment to verify the control characteristics of the Fuzzy PID controller.\",\"PeriodicalId\":286830,\"journal\":{\"name\":\"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)\",\"volume\":\"35 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICE-CCN.2013.6528495\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICE-CCN.2013.6528495","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mathematical modelling and speed control of a sensored brushless DC motor using intelligent controller
Brushless DC motor are rapidly gaining popularity due to its high efficiency and accurate control characteristics. For any industrial and domestic application it is necessary to control the speed accurately. The drawbacks of the conventional PID controllers for the speed control can be minimized using Fuzzy PID controller. This paper aims at the design of Fuzzy PID controller for a BLDC motor inorder to dynamically update the parameters of PID controller. The mathematical modelling of the motor along with the controller is derived for the specific BLDC motor. The simulation is done on MATLAB/SIMULINK environment to verify the control characteristics of the Fuzzy PID controller.