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首页> 外文期刊>IFAC PapersOnLine >DESIGN OF STABLE TAKAGI SUGENO FUZZY CONTROL SYSTEM FOR THREE INTERCONNECTED TANK SYSTEM VIA LMIs WITH CONSTRAINT ON THE OUTPUT
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DESIGN OF STABLE TAKAGI SUGENO FUZZY CONTROL SYSTEM FOR THREE INTERCONNECTED TANK SYSTEM VIA LMIs WITH CONSTRAINT ON THE OUTPUT

机译:用LMIS对输出限制设计三个互连罐系统稳态Takagi Sugeno模糊控制系统

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This paper aims to introduce a systematic design procedure that ensures the stability of nonlinear systems with saturation on output signal described by Takagi-Sugeno (T-S) fuzzy models. The overall design was acquired by the fuzzy “blending” of these linear models. Linear controllers are then designed for each linear model via parallel distributed compensation. As the amplitudes and rates of signal’s change in practical actuators are limited to certain maximum levels, analysis and design of controllers for the output constraint is a very actual topic. Stability analysis can be performed via Linear Matrix Inequalities (LMIs) according to these constraints on the control input/output for T-S fuzzy control systems. These LMIs can be solved using software packages such as MATLAB’s LMI Toolbox. In this paper considered interconnected tank system which described by T-S fuzzy model was used to demonstrate this design procedure. The fuzzy model was developed in MATLAB Simulink and LMI Toolbox was used to generate the code that determines the control vector subject to the design approach introduced in this paper.
机译:本文旨在引入系统的设计程序,可确保非线性系统的稳定性,饱和于Takagi-sugeno(T-S)模糊模型所描述的输出信号。通过这些线性模型的模糊“混合”来获得整体设计。然后通过并行分布式补偿为每个线性模型设计线性控制器。由于信号在实际执行器中的信号变化的幅度和信号的变化仅限于某些最大水平,输出约束的控制器的分析和设计是一个非常实际的主题。根据T-S模糊控制系统的控制输入/输出上的这些约束,可以通过线性矩阵不等式(LMI)来执行稳定性分析。这些LMI可以使用MATLAB的LMI工具箱等软件包来解决。在本文中,考虑了由T-S模糊模型描述的互连罐系统用于演示该设计过程。模糊模型是在MATLAB Simulink中开发的,LMI工具箱用于生成根据本文介绍的设计方法来确定控制向量的代码。

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