{"title":"双转子MIMO系统及其区间2型模糊逻辑控制","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":"{\"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}","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}
Twin-rotor MIMO system and its control using interval type-2 fuzzy logic
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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