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Simulation of Fuzzy Control of Oxygen Flow in PEM Fuel Cells
Open AccessArticle

Singularly Perturbed Modeling and LQR Controller Design for a Fuel Cell System

by Kliti Kodra 1,* and Ningfan Zhong 2
1
Applied Physics Laboratory, The Johns Hopkins University, 11100 Johns Hopkins Road, Laurel, MD 20723, USA
2
College of Electrical Engineering and Automation, Shandong University of Science & Technology, Qingdao 266510, China
*
Author to whom correspondence should be addressed.
Energies 2020, 13(11), 2735; https://doi.org/10.3390/en13112735
Received: 8 April 2020 / Revised: 16 May 2020 / Accepted: 20 May 2020 / Published: 29 May 2020
(This article belongs to the Special Issue Optimal Control of Fuel Cells and Wind Turbines)
Modeling and control of proton-exchange membrane fuel cells (PEMFC) has become a very popular research topic lately due to the increasing use of renewable energy. Despite this fact, most of the work in the current literature only studies standard dynamical models without taking into consideration possible parasitics such as small gas flow perturbations that could be available in the system. This paper addresses this issue by elaborating on time-scale modeling of an augmented eighteenth-order PEMFC-reformer system via singular perturbation theory. The latter captures time scales that arise in the model due to the presence of small perturbations. Specifically, a novel and efficient algorithm that helps identify the presence of different time-scales is developed. In addition, the method converts an implicit singularly perturbed model into an explicit equivalent where the time-scales are evident. Using this algorithm, a complete singularly perturbed dynamic model of the augmented eighteenth-order PEMFC-reformer system is obtained. Modeling of the PEMFC-reformer system is followed by linear quadratic regulator (LQR) design for the individual time-scales present in the system. View Full-Text
Keywords: PEM fuel cells; singularly perturbed modeling; LQR optimal control PEM fuel cells; singularly perturbed modeling; LQR optimal control
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Kodra, K.; Zhong, N. Singularly Perturbed Modeling and LQR Controller Design for a Fuel Cell System. Energies 2020, 13, 2735.

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