Performance Improvement of Fuel Cells Using Perturbation‐Based Extremum Seeking and Model Reference Adaptive Control

DOI10.1002/ASJC.1519zbMath1386.93211OpenAlexW2609104223MaRDI QIDQ4599980

Faridoon Shabani, Reza Dadkhah Tehrani

Publication date: 5 January 2018

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.1519

zbMATH Keywords

uncertaintymodel reference adaptive control (MRAC)maximum power point tracking (MPPT)fuel cell (FC)DC-DC converterperturbation-based extremum seeking (PES)

Mathematics Subject Classification ID

Application models in control theory (93C95) Adaptive control/observation systems (93C40)

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Robust Backstepping Sliding Mode Controller Investigation for a Port Plate Position Servo System Based on an Extended States Observer ⋮ Observer Based Fuel Delivery Control for PEM Fuel Cells with a Segmented Anode Model ⋮ Real‐time thermal Management of Open‐Cathode PEMFC system based on maximum efficiency control strategy ⋮ Identification of Wiener models for dynamic and steady‐state performance with application to solid oxide fuel cell ⋮ Intelligent maximum power tracking control of a PMSG wind energy conversion system

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