N. I. Echeverria, J. Fischer, R. Hidalgo, S. A. González, D. Carrica
{"title":"Adaptive Delay-Tolerant Robust Predictive Current Control","authors":"N. I. Echeverria, J. Fischer, R. Hidalgo, S. A. González, D. Carrica","doi":"10.1109/ARGENCON.2018.8646082","DOIUrl":null,"url":null,"abstract":"This paper presents an Adaptive Delay-Tolerant Robust Predictive Current Controller based on a QRD-RLS identification technique. This control can be applied to both single and three phase grid-tie voltage source inverters. The control strategy, based on an extended model that include delays (integer computational delay plus effective delay), employs full state feedback, a predictions observer and an identification algorithm in order to obtain a true dead-beat ripple free response. Due to its adaptive capability, this control has a great robustness to parametric variations and presents low steady-state current error. Simulations results were carried out in order to asses the proposed technique.","PeriodicalId":395838,"journal":{"name":"2018 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Biennial Congress of Argentina (ARGENCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARGENCON.2018.8646082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents an Adaptive Delay-Tolerant Robust Predictive Current Controller based on a QRD-RLS identification technique. This control can be applied to both single and three phase grid-tie voltage source inverters. The control strategy, based on an extended model that include delays (integer computational delay plus effective delay), employs full state feedback, a predictions observer and an identification algorithm in order to obtain a true dead-beat ripple free response. Due to its adaptive capability, this control has a great robustness to parametric variations and presents low steady-state current error. Simulations results were carried out in order to asses the proposed technique.