Byron Hernández, Ospina H. Steven, Marín L. Angelo, E. Giraldo
{"title":"RLS Estimation and Sliding Mode Control with Integral Action for a Twin Rotor MIMO System","authors":"Byron Hernández, Ospina H. Steven, Marín L. Angelo, E. Giraldo","doi":"10.1109/CCAC.2019.8920887","DOIUrl":null,"url":null,"abstract":"In this paper, a sliding mode control with integral action for a Twin Rotor Multiple Input Multiple Output (MIMO) System is presented. The nonlinear controller is based on a estimated model of the Twin Rotor System obtained by using a Recursive Least Squares (RLS) identification algorithm. The performance of the proposed adaptive control method is evaluated over a simulated and a real model. It is noticeable, that the proposed method outperforms, in terms of tracking error and settling time, the classical MIMO controllers under internal and external disturbances. As a result, it can be seen that the sliding mode control algorithm with integral action based on a RLS identification method is suitable for real applications where the model parameters are not well defined.","PeriodicalId":184764,"journal":{"name":"2019 IEEE 4th Colombian Conference on Automatic Control (CCAC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 4th Colombian Conference on Automatic Control (CCAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCAC.2019.8920887","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
In this paper, a sliding mode control with integral action for a Twin Rotor Multiple Input Multiple Output (MIMO) System is presented. The nonlinear controller is based on a estimated model of the Twin Rotor System obtained by using a Recursive Least Squares (RLS) identification algorithm. The performance of the proposed adaptive control method is evaluated over a simulated and a real model. It is noticeable, that the proposed method outperforms, in terms of tracking error and settling time, the classical MIMO controllers under internal and external disturbances. As a result, it can be seen that the sliding mode control algorithm with integral action based on a RLS identification method is suitable for real applications where the model parameters are not well defined.