{"title":"An adaptive current control scheme for high-performance AC drives","authors":"Ming‐Fa Tsai, Y. Tzou","doi":"10.1109/IECON.1997.671040","DOIUrl":null,"url":null,"abstract":"In this paper, a self-tuning adaptive current controller for high-performance AC drives is presented. The adaptive current controller, which operates in the stationary two-axis frame to provide the persistently exciting condition for parameter estimation convergence, consists of a one-step-ahead predictive controller and a model estimator. The predictive controller's parameters are adjusted adaptively on line in terms of estimated model parameters. Estimating the model parameters entails a first-order four-dimensional least-squares estimator with exponential data weighting to detect the variations of the motor parameters and the back EMF. The proposed adaptive control scheme is implemented in parallel by IMS T800-20 transputers. Simulation results show the effectiveness of the proposed adaptive current control scheme.","PeriodicalId":404447,"journal":{"name":"Proceedings of the IECON'97 23rd International Conference on Industrial Electronics, Control, and Instrumentation (Cat. No.97CH36066)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IECON'97 23rd International Conference on Industrial Electronics, Control, and Instrumentation (Cat. No.97CH36066)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.1997.671040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, a self-tuning adaptive current controller for high-performance AC drives is presented. The adaptive current controller, which operates in the stationary two-axis frame to provide the persistently exciting condition for parameter estimation convergence, consists of a one-step-ahead predictive controller and a model estimator. The predictive controller's parameters are adjusted adaptively on line in terms of estimated model parameters. Estimating the model parameters entails a first-order four-dimensional least-squares estimator with exponential data weighting to detect the variations of the motor parameters and the back EMF. The proposed adaptive control scheme is implemented in parallel by IMS T800-20 transputers. Simulation results show the effectiveness of the proposed adaptive current control scheme.