Sliding mode control for non-linear systems by Takagi-Sugeno fuzzy model and delta operator approaches

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85

초록

This study considers the problem of adaptive sliding mode control for discrete-time Takagi-Sugeno (T-S) fuzzy systems with actuator faults and external disturbances via the delta operator method. The delta operator approach is used to represent the discrete-time non-linear systems described by T-S fuzzy models. The actuator fault considered in this study is unknown and its fault-deviation is also unknown. A reduced-order system is utilised to design the sliding mode surface subject to linear matrix inequality constraint. By constructing the sliding mode surface, a novel adaptive sliding mode controller is designed to guarantee that the closed-loop system is uniformly ultimately bounded. Finally, two practical examples are presented to show the effectiveness and applicability of the developed fault-tolerant control scheme.

키워드

variable structure systemsnonlinear control systemsmathematical operatorsadaptive controlactuatorsdiscrete time systemsreduced order systemslinear matrix inequalitiesclosed loop systemscontrol system synthesisfault tolerant controlfuzzy systemsadaptive sliding mode controldiscrete-time Takagi-Sugeno fuzzy systemsactuator faultsexternal disturbancesdelta operator methoddiscrete-time nonlinear systemsT-S fuzzy modelslinear matrix inequality constraintuniform ultimately bounded closed-loop systemfault-tolerant control schemeDISCRETE-TIME-SYSTEMSOUTPUT-FEEDBACK CONTROLMARKOVIAN JUMP SYSTEMSROBUST H-INFINITYSTOCHASTIC-SYSTEMSFAULT ESTIMATIONTOLERANT CONTROLVARYING DELAYSDEAD-ZONEACTUATOR
제목
Sliding mode control for non-linear systems by Takagi-Sugeno fuzzy model and delta operator approaches
저자
Wang, JiahuiGao, YabinQiu, JianbinAhn, Choon Ki
DOI
10.1049/iet-cta.2016.0231
발행일
2017-05-12
유형
Article
저널명
IET Control Theory and Applications
11
8
페이지
1205 ~ 1213