Type-2 fuzzy model based controller design for neutralization processes

被引：55

作者：

Kumbasar, Tufan ^{[1
]}

Eksin, Ibrahim ^{[1
]}

Guzelkaya, Mujde ^{[1
]}

Yesil, Engin ^{[1
]}

机构：

[1] Istanbul Tech Univ, Fac Elect & Elect Engn, Dept Control Engn, TR-34469 Istanbul, Turkey

来源：

ISA TRANSACTIONS | 2012年 / 51卷 / 02期

关键词：

Type-2 fuzzy models; Inverse fuzzy model; Big Bang-Big Crunch optimization algorithm; Internal model control; pH neutralization process; OPTIMIZATION METHOD; NONLINEAR CONTROL; PH;

D O I：

10.1016/j.isatra.2011.10.007

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this study, an inverse controller based on a type-2 fuzzy model control design strategy is introduced and this main controller is embedded within an internal model control structure. Then, the overall proposed control structure is implemented in a pH neutralization experimental setup. The inverse fuzzy control signal generation is handled as an optimization problem and solved at each sampling time in an online manner. Although, inverse fuzzy model controllers may produce perfect control in perfect model match case and/or non-existence of disturbances, this open loop control would not be sufficient in the case of modeling mismatches or disturbances. Therefore, an internal model control structure is proposed to compensate these errors in order to overcome this deficiency where the basic controller is an inverse type-2 fuzzy model. This feature improves the closed-loop performance to disturbance rejection as shown through the real-time control of the pH neutralization process. Experimental results demonstrate the superiority of the inverse type-2 fuzzy model controller structure compared to the inverse type-1 fuzzy model controller and conventional control structures. (C) 2011 ISA. Published by Elsevier Ltd. All rights reserved.

引用

页码：277 / 287

页数：11

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