{"title":"Twin-rotor MIMO system and its control using interval type-2 fuzzy logic","authors":"M. R. Kafi, H. Chaoui, S. Miah","doi":"10.1109/IRIS.2017.8250143","DOIUrl":null,"url":null,"abstract":"This manuscript presents the application of interval type-2 fuzzy logic sets for the control of a twin-rotor multiinput multi-output (MIMO) system (TRMS). As such, accurate tracking with robustness to structured/unstructured uncertainties is achieved. Unlike other control methodologies, no prior knowledge of the system dynamics and/or parameters is needed. Simulation results of different TRMS configurations illustrate the performance of the control scheme in transient and steady- state conditions. Furthermore, the proposed interval type-2 fuzzy control strategy is compared against its type-1 counterpart.","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":" 34","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRIS.2017.8250143","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
This manuscript presents the application of interval type-2 fuzzy logic sets for the control of a twin-rotor multiinput multi-output (MIMO) system (TRMS). As such, accurate tracking with robustness to structured/unstructured uncertainties is achieved. Unlike other control methodologies, no prior knowledge of the system dynamics and/or parameters is needed. Simulation results of different TRMS configurations illustrate the performance of the control scheme in transient and steady- state conditions. Furthermore, the proposed interval type-2 fuzzy control strategy is compared against its type-1 counterpart.
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