Sensor fault estimation of PEM fuel cells using Takagi Sugeno fuzzy model-Reference-Cited by-同舟云学术

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Sensor fault estimation of PEM fuel cells using Takagi Sugeno fuzzy model

Published:2020-04 Issue:19 Volume:45 Page:11267-11275
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Li Shanzhi,Aitouche Abdel^ORCID,Wang Haoping^ORCID,Christov Nicolai

Funder

National Natural Science Foundation of China

International Science & Technology Cooperation Program of China

Natural Science Foundation of Jiangsu Province

Campus France

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Condensed Matter Physics,Fuel Technology,Renewable Energy, Sustainability and the Environment

Reference29 articles.

1. Pem fuel cell system control: a review;Daud;Renew Energy,2017

2. A review on non-model based diagnosis methodologies for pem fuel cell stacks and systems;Zheng;Int J Hydrogen Energy,2013

3. Control of fuel cell power systems: principles, modeling, analysis and feedback design;Pukrushpan,2004

4. Robust fuzzy fault-tolerant control of wind energy conversion systems subject to sensor faults;Kamal;IEEE Trans Sustain Energy,2012

5. A particle swarm optimization approach for fuzzy sliding mode control for tracking the robot manipulator;Soltanpour;Nonlinear Dynam,2013

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2. H−/H∞ filter‐based fault detection application to PEM fuel cell air‐feed system;Asian Journal of Control;2024-06-05

3. Sensor and Actuator Fault Estimations and Self-Healing Control of Discrete-Time T-S Fuzzy Model With Double Observers and Its Application to Wastewater Treatment Process;IEEE Transactions on Fuzzy Systems;2024-04

4. Parameter identification of H/O polymer electrolyte membrane fuel stack with integrated planar membrane humidifiers;Journal of Power Sources;2024-04

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