Fuel cell starvation control using model Predictive technique with laguerre and exponential weight functions

Abdullah, Muhammad Faris and Idres, Moumen (2014) Fuel cell starvation control using model Predictive technique with laguerre and exponential weight functions. Journal of Mechanical Science and Technology, 28 (5). pp. 1995-2002. ISSN 1738-494X E-ISSN 1976-3824

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Abstract

Fuel cell system is a complicated system that requires an efficient controller. Model predictive control is a prime candidate for its optimization and constraint handling features. In this work, an improved model predictive control (MPC) with Laguerre and exponential weight functions is proposed to control fuel cell oxygen starvation problem. To get the best performance of MPC, the control and prediction horizons are selected as large as possible within the computation limit. An exponential weight function is applied to place more emphasis on the current time and less emphasis on the future time in the optimization process. This leads to stable numerical solution for large prediction horizons. Laguerre functions are used to capture most of the control trajectory, while reducing the controller computation time and memory for large prediction horizons. Robustness and stability of the proposed controller are assessed using Monte-Carlo simulations. Results verify that the modified MPC is able to mimic the performance of the infinite horizon controller, discrete linear quadratic regulator (DLQR). The controller computation time is reduced approximately by one order of magnitude compared to traditional MPC scheme. Results from Monte-Carlo simulations prove that the proposed controller is robust and stable up to system parameters uncertainty of 40%.

Item Type:	Article (Journal)
Additional Information:	5827/43833
Uncontrolled Keywords:	MPC; Fuel cell; PEMFC; Exponential weight function; Laguerre function; Monte-Carlo simulations
Subjects:	T Technology > TJ Mechanical engineering and machinery
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User:	Dr Moumen Idres
Date Deposited:	20 Jul 2015 17:06
Last Modified:	05 Aug 2021 00:03
URI:	http://irep.iium.edu.my/id/eprint/43833

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