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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2006, Vol. 7 Issue (3 ): 28-    DOI: 10.1631/jzus.2006.A0458
    
Particle Swarm Optimization based predictive control of Proton Exchange Membrane Fuel Cell (PEMFC)
Ren Yuan, Cao Guang-yi, Zhu Xin-jian
Institute of Fuel Cell, Department of Automation, Shanghai Jiao Tong University, Shanghai 20030, China
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Abstract  Proton Exchange Membrane Fuel Cells (PEMFCs) are the main focus of their current development as power sources because they are capable of higher power density and faster start-up than other fuel cells. The humidification system and output performance of PEMFC stack are briefly analyzed. Predictive control of PEMFC based on Support Vector Regression Machine (SVRM) is presented and the SVRM is constructed. The processing plant is modelled on SVRM and the predictive control law is obtained by using Particle Swarm Optimization (PSO). The simulation and the results showed that the SVRM and the PSO receding optimization applied to the PEMFC predictive control yielded good performance.

Key words： Support Vector Regression Machine (SVRM)      Proton Exchange Membrane Fuel Cell (PEMFC)      Particle Swarm Optimization (PSO)      Predictive control     
Received: 20 May 2005     
CLC:  TP273  
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Ren Yuan
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Ren Yuan, Cao Guang-yi, Zhu Xin-jian. Particle Swarm Optimization based predictive control of Proton Exchange Membrane Fuel Cell (PEMFC). Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2006, 7(3 ): 28-.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2006.A0458     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2006/V7/I3 /28

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