Title: ARX modelling and model predictive control for solid oxide fuel cell

Authors: Haibo Huo; Haie Huo; Yunlan Chen; Xinghong Kuang; Junjun Li; Yanxiang Wu

Addresses: Ocean Engineering Research Institute, Shanghai Ocean University, Shanghai, 201306, China ' College of Architecture and Environment, Sichuan University, Chengdu, 610064, China ' Department of Mathematics, Tianjin University, Tianjin, 300072, China ' Ocean Engineering Research Institute, Shanghai Ocean University, Shanghai, 201306, China ' Ocean Engineering Research Institute, Shanghai Ocean University, Shanghai, 201306, China ' Ocean Engineering Research Institute, Shanghai Ocean University, Shanghai, 201306, China

Abstract: For the purpose of dynamic simulation and control, a dynamic modelling study of solid oxide fuel cell (SOFC) stack using autoregressive with exogenous input (ARX) identification algorithm is reported firstly. And then, to meet the voltage demand of DC type loads, a model predictive control (MPC) based on the ARX model is developed and used to control the output voltage of the SOFC. Simulation results demonstrate the potential of the established ARX model for application to the control of the SOFC, while the excellence of the MPC controller for voltage control of the SOFC is proved.

Keywords: solid oxide fuel cells; SOFC; autoregressive with exogenous input; ARX identification; model predictive control; MPC; ARX modelling; dynamic modelling; simulation; voltage control.

DOI: 10.1504/IJMIC.2013.055915

International Journal of Modelling, Identification and Control, 2013 Vol.20 No.1, pp.74 - 81

Published online: 27 Sep 2014 *

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