pH中和反应器的自适应滑模控制:基于Takagi-Sugeno模糊多模型的方法

2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM) Pub Date : 2021-10-12 DOI:10.1109/ETCM53643.2021.9590774

J. Estrada, O. Camacho

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引用次数: 3

摘要

本文提出了一种融合TS模糊系统和Smith预测器概念的自适应滑模控制器。提出了一种模糊多模型，克服了参数可变的问题。pH中和反应器可以使用经验模型进行局部建模，围绕不同的操作点，作为FOPDT模型。使用了几个设定点和干扰来测试所提出的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Adaptive Sliding Mode Control for a pH Neutralization Reactor: An approach based on Takagi-Sugeno Fuzzy Multimodel

This document presents an Adaptive Sliding Mode Controller fusing TS fuzzy systems and Smith Predictor concepts. A fuzzy multimodel of the plant to overcome the issues due to variable parameters is introduced. A pH neutralization reactor can be locally modeled using empirical models represented, around different operating points, as FOPDT models. Several set points and disturbances are used for testing the proposed approach.

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2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)

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