Decentralized Model Predictive Control for Polymer Electrolyte Membrane Fuel Cell System

In this paper, we applied a decentralized model predictive control (DMPC) scheme on the Polymer electrolyte membrane fuel cell (PEMFC) system. The DMPC controller is used to realize the tracking of the maximum PEMFC net output power. The scheme of DMPC is adapt from Alessio et al. (2011). In the proposed DMPC control strategy, two DMPC controllers are designed to manipulate two key component of the PEMFC system, which are the compressor and the stack cathode. Each DMPC controller receives information from the local states, and calculate the optimal system input using an explicit feedback control law. The simulation results show the DMPC control scheme can successfully manipulate the PEMFC system to the optimal working condition, with acceptable performance loss compared to centralized model predictive control (CMPC) scheme. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.