Constrained model predictive control for proton exchange membrane fuel cell

A constrained model predictive control (MPC) is designed to regulate the air flow rate of proton exchange membrane fuel cell (PEMFC). Oxygen excess ratio, compressor flow rate and supply manifold pressure are constrained to avoid oxygen starvation, surge and choke phenomena. This is achieved by ma...

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Main Authors:	Abdullah, Muhammad Faris, Idres, Moumen
Format:	Article
Language:	English English
Published:	Korean Society of Mechanical Engineers 2014
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://irep.iium.edu.my/43832/ http://irep.iium.edu.my/43832/ http://irep.iium.edu.my/43832/ http://irep.iium.edu.my/43832/1/2014-Constrained_model_predictive_control_of_proton_exchange_membrane_fuel_cell_2014.pdf http://irep.iium.edu.my/43832/4/43832_Constrained%20model%20predictive_SCOPUS.pdf

id	iium-43832
recordtype	eprints
spelling	iium-438322017-08-24T07:20:09Z http://irep.iium.edu.my/43832/ Constrained model predictive control for proton exchange membrane fuel cell Abdullah, Muhammad Faris Idres, Moumen TJ Mechanical engineering and machinery A constrained model predictive control (MPC) is designed to regulate the air flow rate of proton exchange membrane fuel cell (PEMFC). Oxygen excess ratio, compressor flow rate and supply manifold pressure are constrained to avoid oxygen starvation, surge and choke phenomena. This is achieved by manipulating compressor voltage and stack current. The choice of the manipulated input to satisfy a constraint is investigated. Surge and choke avoidance is successful, when compressor voltage is manipulated. When stack current is utilized to satisfy surge and choke constraints, a large unrealistic current is needed. Oxygen starvation is successfully avoided utilizing stack current, while compressor voltage manipulation fails to prevent oxygen starvation. Thus, a current governor is implemented to handle oxygen starvation, while the compressor voltage is constrained to avoid surge and choke. Quadratic programming optimization, Laguerre and exponential weight function are employed to reduce the computational burden of the controller. The simulation results prove that the proposed controller managed to satisfy all constraints without any conflict. Korean Society of Mechanical Engineers 2014-09-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/43832/1/2014-Constrained_model_predictive_control_of_proton_exchange_membrane_fuel_cell_2014.pdf application/pdf en http://irep.iium.edu.my/43832/4/43832_Constrained%20model%20predictive_SCOPUS.pdf Abdullah, Muhammad Faris and Idres, Moumen (2014) Constrained model predictive control for proton exchange membrane fuel cell. Journal of Mechanical Science and Technology, 28 (9). pp. 3855-3862. ISSN 1738494X https://link.springer.com/content/pdf/10.1007%2Fs12206-014-0849-0.pdf 10.1007/s12206-014-0849-0
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Abdullah, Muhammad Faris Idres, Moumen Constrained model predictive control for proton exchange membrane fuel cell
description	A constrained model predictive control (MPC) is designed to regulate the air flow rate of proton exchange membrane fuel cell (PEMFC). Oxygen excess ratio, compressor flow rate and supply manifold pressure are constrained to avoid oxygen starvation, surge and choke phenomena. This is achieved by manipulating compressor voltage and stack current. The choice of the manipulated input to satisfy a constraint is investigated. Surge and choke avoidance is successful, when compressor voltage is manipulated. When stack current is utilized to satisfy surge and choke constraints, a large unrealistic current is needed. Oxygen starvation is successfully avoided utilizing stack current, while compressor voltage manipulation fails to prevent oxygen starvation. Thus, a current governor is implemented to handle oxygen starvation, while the compressor voltage is constrained to avoid surge and choke. Quadratic programming optimization, Laguerre and exponential weight function are employed to reduce the computational burden of the controller. The simulation results prove that the proposed controller managed to satisfy all constraints without any conflict.
format	Article
author	Abdullah, Muhammad Faris Idres, Moumen
author_facet	Abdullah, Muhammad Faris Idres, Moumen
author_sort	Abdullah, Muhammad Faris
title	Constrained model predictive control for proton exchange membrane fuel cell
title_short	Constrained model predictive control for proton exchange membrane fuel cell
title_full	Constrained model predictive control for proton exchange membrane fuel cell
title_fullStr	Constrained model predictive control for proton exchange membrane fuel cell
title_full_unstemmed	Constrained model predictive control for proton exchange membrane fuel cell
title_sort	constrained model predictive control for proton exchange membrane fuel cell
publisher	Korean Society of Mechanical Engineers
publishDate	2014
url	http://irep.iium.edu.my/43832/ http://irep.iium.edu.my/43832/ http://irep.iium.edu.my/43832/ http://irep.iium.edu.my/43832/1/2014-Constrained_model_predictive_control_of_proton_exchange_membrane_fuel_cell_2014.pdf http://irep.iium.edu.my/43832/4/43832_Constrained%20model%20predictive_SCOPUS.pdf
first_indexed	2023-09-18T21:02:24Z
last_indexed	2023-09-18T21:02:24Z
_version_	1777410710812229632

Constrained model predictive control for proton exchange membrane fuel cell

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