Fuzzy model-based observers for fault detection in CSTR

被引：25

作者：

Ballesteros-Moncada, Hazael ^{[1
]}

Herrera-Lopez, Enrique J. ^{[2
]}

Anzurez-Marin, Juan ^{[1
]}

机构：

[1] Univ Michoacana, Fac Ingn Elect, Morelia, Michoacan, Mexico

[2] Ctr Invest & Asistencia Tecnol & Diseno Estado Ja, Biotecnol Ind, Guadalajara 44270, Jalisco, Mexico

来源：

ISA TRANSACTIONS | 2015年 / 59卷

关键词：

Fault detection; Fuzzy system; Takagi-Sugeno; Model-based observer; Chemical process; CSTR; CHEMICAL-PROCESSES; DIAGNOSIS PROBLEM; NEURAL-NETWORKS; SENSOR FAULTS; DESIGN; IDENTIFICATION; SYSTEMS; REACTORS;

D O I：

10.1016/j.isatra.2015.10.006

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Under the vast variety of fuzzy model-based observers reported in the literature, what would be the properone to be used for fault detection in a class of chemical reactor? In this study four fuzzy model-based observers for sensor fault detection of a Continuous Stirred Tank Reactor were designed and compared. The designs include (i) a Luenberger fuzzy observer, (ii) a Luenberger fuzzy observer with sliding modes, (iii) a Walcott-Zak fuzzy observer, and (iv) an Utkin fuzzy observer. A negative, an oscillating fault signal, and a bounded random noise signal with a maximum value of +/- 0.4 were used to evaluate and compare the performance of the fuzzy observers. The Utkin fuzzy observer showed the best performance under the tested conditions. (C) 2015 ISA. Published by Elsevier Ltd. All rights reserved.

引用

页码：325 / 333

页数：9

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