Decentralized Model Predictive Control for Polymer Electrolyte Membrane Fuel Cell System

被引：7
|
作者：
Liu, Shiqi [1 ]
Bin, Yang [2 ]
Li, Yaoyu [3 ]
Scheppat, Birgit [4 ]
机构：
[1] Beijing Univ Technol, Beijing 100124, Peoples R China
[2] Chongqing Univ Technol, Chongqing 400054, Peoples R China
[3] Univ Texas Dallas, Dallas, TX 75080 USA
[4] RheinMain Univ Appl Sci, D-65197 Wiesbaden, Germany
来源：
IFAC PAPERSONLINE | 2018年 / 51卷 / 31期
关键词：
Control Architectures; Fuel-cells; Energy Management;
D O I：
10.1016/j.ifacol.2018.10.153
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：659 / 664
页数：6
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