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Parallel distributed compensator design of tank level control based on fuzzy Takagi-Sugeno model

机译:基于模糊Takagi-Sugeno模型的储罐液位控制并联分布式补偿器设计

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摘要

In this paper, a fuzzy controller is designed based on parallel distributed compensation (PDC) method and it is implemented in an experimental tank level control system. Firstly, a mathematical model of the system is obtained experimentally. An important feature of the plant is its nonlinearity. To control the level of water in the tank over the whole range, the nonlinear model of the system is linearized around three different operating points. Then, three PI controllers are designed for the operating points, using Skogestad's method. By using the PDC method, an overall fuzzy controller is designed by the fuzzy blending of the three PI-controllers. To evaluate the practical performance of the PDC-based fuzzy controller, the control system is implemented in the experimental system. The evaluation criteria considered are step response and disturbance rejection. The comparison results showed the superiority of the PDC-controller over the classical PI-controller.
机译:本文设计了一种基于并行分布补偿(PDC)方法的模糊控制器,并在实验罐液位控制系统中实现。首先,通过实验获得了系统的数学模型。植物的一个重要特征是其非线性。为了在整个范围内控制水箱中的水位,系统的非线性模型围绕三个不同的工作点进行了线性化。然后,使用Skogestad方法为操作点设计三个PI控制器。通过使用PDC方法,通过三个PI控制器的模糊混合设计了一个整体模糊控制器。为了评估基于PDC的模糊控制器的实际性能,在实验系统中实现了控制系统。考虑的评估标准是阶跃响应和干扰抑制。比较结果表明,PDC控制器优于经典PI控制器。

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