A Novel Neural Network-Based Control Method for Proton Exchange Membrane Fuel Cell in DC Microgrids

This paper proposes a novel neural network-based control algorithm for the proton exchange membrane fuel cell (PEMFC) in DC microgrids. A novel recurrent equilibrium network (REN) is developed to improve the control performance in the presence of uncertainties and disturbances. In theory, the contra...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE journal of emerging and selected topics in industrial electronics (Print) 2024-11, p.1-10
Hauptverfasser:	Liu, Yulin, Wang, Ruigang, Li, Ran, Feng, Wendong, Iu, Herbert H. C., Fernando, Tyrone, Zhang, Xinan
Format:	Artikel
Sprache:	eng
Schlagworte:	Batteries Computationally efficient DC microgrid Fuel cells hardware-in-the-loop Hydrogen Microgrids Neural networks Observers PI control proton exchange membrane fuel cell Protons recurrent equilibrium network Uncertainty Voltage control
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!