Multi-Model Feedforward Dynamic Matrix Control of Polymer Membrane Fuel Cell with Dead-Ended Anode and Cyclic Purge Process

This paper proposes a control strategy for a Polymer Electrolyte Membrane Fuel Cell (PEMFC) with a dead-ended anode (DEA) and cyclic purge process using Multi-model Feedforward Dynamic Matrix Control (MFDMC) with a switch law. MFDMC is a model-based predictive control method, which has superiority in addressing control problems with constraints and nonlinearity. The control objective is to maintain a low differential pressure across the membrane against the disturbance of the purge process and load change. A mathematical model is built and its dynamics is recognized at varied operating conditions to demonstrate the transient behavior of a PEMFC stack. Simulation results show the ability of the MFDMC to compensate the influence of periodic purging and load change without constraint violation of the actuator.

[1]  Zhengkai Tu,et al.  Gas purging effect on the degradation characteristic of a proton exchange membrane fuel cell with dead-ended mode operation II. Under different operation pressures , 2017 .

[2]  Fan Di Multi-model DMC Decoupling Design Method for Nonlinear Systems , 2011 .

[3]  Chen Xuesong,et al.  Anode purge strategy optimization of the polymer electrode membrane fuel cell system under the dead-end anode operation , 2016 .

[4]  Mo Xiaoming Dynamic Matrix Control Based on Multi-model Synthesis and Its Application , 2006, 2007 Chinese Control Conference.

[5]  이정호,et al.  Fundamentals of Fluid Mechanics, 6th Edition , 2009 .

[6]  Liejin Guo,et al.  Degradation mitigation effects of pressure swing in proton exchange membrane fuel cells with dead-ended anode , 2017 .

[7]  Richard Edwin Sonntag,et al.  Fundamentals of Thermodynamics , 1998 .

[8]  Anna G. Stefanopoulou,et al.  Control of Fuel Cell Power Systems , 2004 .

[9]  Farid Golnaraghi,et al.  Model Predictive Control of Polymer Electrolyte Membrane fuel cell with dead-end anode and periodic purging , 2016, 2016 IEEE Conference on Control Applications (CCA).

[10]  Wan Ramli Wan Daud,et al.  PEM fuel cell system control: A review , 2017 .

[11]  W. R. Grove LXXII. On a gaseous voltaic battery , 1842 .

[12]  Roger A. Dougal,et al.  Design and testing of a fuel-cell powered battery charging station , 2003 .

[13]  Garrett M. Clayton,et al.  Five State Analytical Model of Proton Exchange Membrane Fuel Cell , 2017 .

[14]  Joachim Horn,et al.  Optimal iterative learning control of a PEM fuel cell system during purge processes , 2016, 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR).