Fuzzy observer-based fault tolerant control against sensor faults for proton exchange membrane fuel cell

被引：24

作者：

Kamal, Elkhatib ^{[1
]}

Aitouche, Abdel ^{[2
]}

机构：

[1] Menoufia Univ, Fac Elect Engn, Dept Ind Elect & Control Engn, Menoufia 32952, Egypt

[2] HEI Lille, CRIStAL UMR CNRS 9189, Lille, France

来源：

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY | 2020年 / 45卷 / 19期

基金：

中国国家自然科学基金; 对外科技合作项目（国际科技项目）;

关键词：

Proton Exchange Membrane Fuel Cells (PEMFC); Fault estimation; TS fuzzy system; Unknown input observer; Fuel cells; Sensor faults; WIND ENERGY-SYSTEMS; SLIDING-MODE; DIAGNOSIS; TEMPERATURE; SUBJECT; IDENTIFICATION; MANAGEMENT; STRATEGY; ACTUATOR;

D O I：

10.1016/j.ijhydene.2018.10.070

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

In this paper, robust fault diagnosis problem of Proton Exchange Membrane Fuel Cells (PEMFC) is presented based on Takagi-Sugeno (TS) Fuzzy Unknown Input Observer (FUIO). TS FUIO based on Linear Matrix Equalities (LMEs) and the Linear Matrix Inequalities (LMIs) are design. Firstly, the nonlinear PEMFC system with sensor faults and disturbance is represented by TS fuzzy model. Then, a FUIO and sensor fault estimation algorithm is developed and then a model based Fuzzy Fault Tolerant Controller design uses the concept of Parallel Distributed Compensation (PDC). Sufficient stability conditions are studied based on LMIs and LMEs. In order to verify the proposed approach, a PEMFC system with return manifold pressure and hydrogen mass sensors fault and disturbance was tested to illustrate the effectiveness of the proposed strategy. (C) 2018 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

引用

页码：11220 / 11232

页数：13

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