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Robust variable structure control algorithm based on T-S fuzzy model

机译:基于T-S模糊模型的鲁棒变结构控制算法

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In this parer, we propose a robust variable structure control algorithm based on Takagi-Sugeno (T-S) fuzzy model for a class of nonlinear systems. We use a T-S fuzzy model with mismatched uncertainty and time-varying delay to approximately represent the nonlinear systems. An asymptotically stable sliding surface is designed by means of linear matrix inequality (LMI). The sliding surface can compensate for the effect of the uncertainty. A robust variable structure controller is designed to ensure the existence of a sliding mode and to overcome the effect of the time-varying delay and the uncertainty. In addition, a novel reaching condition that can obviously reduce chattering around the sliding surface is also proposed. Matlab simulation results are offered to verify the effectiveness of the proposed algorithm.
机译:在此比较器中,我们针对一类非线性系统提出了一种基于Takagi-Sugeno(T-S)模糊模型的鲁棒可变结构控制算法。我们使用具有不匹配不确定性和时变时延的T-S模糊模型来近似表示非线性系统。通过线性矩阵不等式(LMI)设计渐近稳定的滑动表面。滑动表面可以补偿不确定性的影响。设计了鲁棒的可变结构控制器,以确保存在滑模并克服时变延迟和不确定性的影响。另外,还提出了一种新颖的达到条件,该条件可以明显减少滑动表面周围的颤动。提供了Matlab仿真结果,验证了所提算法的有效性。

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