Adaptive observer based approach for the fault diagnosis in solid oxide fuel cells

被引：25

作者：

Vijay, Periasamy ^{[1
]}

Tade, Moses O. ^{[1
]}

Shao, Zongping ^{[1
]}

机构：

[1] Curtin Univ, Dept Chem Engn, Perth, WA 6845, Australia

来源：

JOURNAL OF PROCESS CONTROL | 2019年 / 84卷

基金：

澳大利亚研究理事会;

关键词：

Solid oxide fuel cell; Fault diagnosis; Adaptive observers; Nonlinear observers; MODEL;

D O I：

10.1016/j.jprocont.2019.09.010

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Monitoring and fault diagnosis can play a major role in improving the reliability of Solid Oxide Fuel Cell (SOFC) systems. Due to complex interactions between the variables, quantitative model based methods are suitable for SOFC fault diagnosis. In this work, a fault diagnosis strategy based on a non-linear observer based approach is proposed for the SOFC. Two nonlinear adaptive observers are designed based on the concepts of input-to-state stability of cascaded systems, each sensitive to different faults affecting the SOFC. Simultaneous application of these two observers allows the unique identification and diagnosis of all the common faults in the SOFC. This unique approach of multiple nonlinear adaptive observers for SOFC fault diagnosis can improve fault resolution and has applicability over wide operating ranges. (C) 2019 Elsevier Ltd. All rights reserved.

引用

页码：101 / 114

页数：14

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