{"title":"ADALINE-Based Speed Control For Induction Motor Drive","authors":"Imane Ghlib, Youcef Messlem, Zakaria Chedjara","doi":"10.1109/ICAEE47123.2019.9015162","DOIUrl":null,"url":null,"abstract":"This paper presents a new neuro-control of induction motor (IM) drive. It has three key aims. Firstly, the performance of the controller is enhanced using the artificial neural network. Secondly, it objects to diminish the step of calculations and this finally aims to reduce the time needed for realization. The proposed method is based on the replace the classical speed controller with ADAptive LInear NEuron (ADALINE) The parameters of speed neuro-controller are tuned and optimized during the online process to obtain the high possible drive dynamics. The comparison with the conventional vector control under identical conditions shows that is the proposed controller represents a good comprise between Superior performance and reduced calculation.. The simulation results presented the strength, and superiority of the proposed structure compared to the standard method in transient response and even in parameter uncertainties. Furthermore, to make this technique able to involve in real time","PeriodicalId":197612,"journal":{"name":"2019 International Conference on Advanced Electrical Engineering (ICAEE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Advanced Electrical Engineering (ICAEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAEE47123.2019.9015162","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper presents a new neuro-control of induction motor (IM) drive. It has three key aims. Firstly, the performance of the controller is enhanced using the artificial neural network. Secondly, it objects to diminish the step of calculations and this finally aims to reduce the time needed for realization. The proposed method is based on the replace the classical speed controller with ADAptive LInear NEuron (ADALINE) The parameters of speed neuro-controller are tuned and optimized during the online process to obtain the high possible drive dynamics. The comparison with the conventional vector control under identical conditions shows that is the proposed controller represents a good comprise between Superior performance and reduced calculation.. The simulation results presented the strength, and superiority of the proposed structure compared to the standard method in transient response and even in parameter uncertainties. Furthermore, to make this technique able to involve in real time