{"title":"A neuro fuzzy controller for inverter fed variable speed induction motor drive on the power system","authors":"Kyu-Bock Cho","doi":"10.1109/ANN.1993.264351","DOIUrl":null,"url":null,"abstract":"The author proposes an adaptive learning pulse width modulation (PWM) for a current controller which adaptively minimizes a current ripple with a constant switching frequency. This employs neuro- and/or fuzzy computing philosophy as well as adaptive learning pattern recognition principles to overcome the problems concerning variations of the system parameters. The proposed system is applied to an electrical drive system with an induction motor(IM) and is studied by various simulations. As opposed to the known classical methods, the proposed system shows the better performance.<<ETX>>","PeriodicalId":121897,"journal":{"name":"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANN.1993.264351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The author proposes an adaptive learning pulse width modulation (PWM) for a current controller which adaptively minimizes a current ripple with a constant switching frequency. This employs neuro- and/or fuzzy computing philosophy as well as adaptive learning pattern recognition principles to overcome the problems concerning variations of the system parameters. The proposed system is applied to an electrical drive system with an induction motor(IM) and is studied by various simulations. As opposed to the known classical methods, the proposed system shows the better performance.<>
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
![[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems](/Content/css/sci/img/zetp.jpg)
求助内容：
应助结果提醒方式：
扫码关注我们
