{"title":"Controller Design by Frequency-Domain Fictitious Reference Iterative Tuning Using Sliding DFT","authors":"Nobutoshi Suwa, Y. Ishida","doi":"10.1109/AIMS.2015.42","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a method for online controller adjustment by a fictitious reference iterative tuning (FRIT) of a frequency domain using sliding discrete Fourier transform (DFT). We have extended the FRIT to correspond time delay and characteristic variation of a control object. A sliding DFT was used to correspond to the time delay of the controlled object. In addition, we have optimized the method using a recursive least-squares algorithm to determine the controller gains online. In this study, we utilized an algorithm that was designed in a two-degree-of-freedom (2DOF) control system. We have experimentally verified the effectiveness of the proposed method. The proposed method can correspond to the time delay of a controlled object. In addition, it can also correspond to characteristic variations of a control object.","PeriodicalId":121874,"journal":{"name":"2015 3rd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 3rd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIMS.2015.42","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
In this paper, we propose a method for online controller adjustment by a fictitious reference iterative tuning (FRIT) of a frequency domain using sliding discrete Fourier transform (DFT). We have extended the FRIT to correspond time delay and characteristic variation of a control object. A sliding DFT was used to correspond to the time delay of the controlled object. In addition, we have optimized the method using a recursive least-squares algorithm to determine the controller gains online. In this study, we utilized an algorithm that was designed in a two-degree-of-freedom (2DOF) control system. We have experimentally verified the effectiveness of the proposed method. The proposed method can correspond to the time delay of a controlled object. In addition, it can also correspond to characteristic variations of a control object.