期刊
IET CONTROL THEORY AND APPLICATIONS
卷 11, 期 8, 页码 1205-1213出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-cta.2016.0231
关键词
variable structure systems; nonlinear control systems; mathematical operators; adaptive control; actuators; discrete time systems; reduced order systems; linear matrix inequalities; closed loop systems; control system synthesis; fault tolerant control; fuzzy systems; adaptive sliding mode control; discrete-time Takagi-Sugeno fuzzy systems; actuator faults; external disturbances; delta operator method; discrete-time nonlinear systems; T-S fuzzy models; linear matrix inequality constraint; uniform ultimately bounded closed-loop system; fault-tolerant control scheme
资金
- National Natural Science Foundation of China [61374031, 61573070, 61622302, 61673072]
- Postgraduate Innovation Fundation of Bohai University [071502224-54]
- Special Chinese National Postdoctoral Science Foundation [2015T80262]
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.
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