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

机译:基于Takagi–Sugeno模糊模型和delta算子的非线性系统滑模控制

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摘要

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.
机译:本研究通过δ算子方法考虑了具有执行器故障和外部干扰的离散Takagi-Sugeno(TS)模糊系统的自适应滑模控制问题。增量算子方法用于表示由TS模糊模型描述的离散时间非线性系统。在这项研究中考虑的执行器故障是未知的,其故障偏差也是未知的。利用降阶系统设计受线性矩阵不等式约束的滑模表面。通过构造滑模表面,设计了一种新颖的自适应滑模控制器,以确保闭环系统最终均匀受约束。最后,通过两个实例说明了所开发的容错控制方案的有效性和适用性。

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