N. Bouarroudj, A. Djari, D. Boukhetala, F. Boudjema
{"title":"Tuning of decentralized fuzzy logic sliding mode controller using PSO algorithm for nonlinear Twin Rotor Mimo System","authors":"N. Bouarroudj, A. Djari, D. Boukhetala, F. Boudjema","doi":"10.1109/ICOSC.2017.7958641","DOIUrl":null,"url":null,"abstract":"This paper presents the optimization of a variable structure controller based on a decentralized fuzzy logic sliding mode (DFLSM) strategy for the control of the pitch and azimuth angles of a TRMS when coupling vertical and horizontal axes. Particle Swarm Optimization (PSO) algorithm is used to tune the DFLSMC parameters to ensure optimal performance in the closed loop, within a given cost function. Finally, simulation results show the effectiveness of the decentralized FLSMC-based PSO algorithm in the stabilization and trajectory tracking tests compared to a non-optimized DFLSMC.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th International Conference on Systems and Control (ICSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSC.2017.7958641","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
This paper presents the optimization of a variable structure controller based on a decentralized fuzzy logic sliding mode (DFLSM) strategy for the control of the pitch and azimuth angles of a TRMS when coupling vertical and horizontal axes. Particle Swarm Optimization (PSO) algorithm is used to tune the DFLSMC parameters to ensure optimal performance in the closed loop, within a given cost function. Finally, simulation results show the effectiveness of the decentralized FLSMC-based PSO algorithm in the stabilization and trajectory tracking tests compared to a non-optimized DFLSMC.
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