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Nonlinear generalized predictive control for air flow rate regulation in the PEM fuel cell system
Zhang HC(张浩琛)
刊名International Journal of Control and Automation
2016
卷号9期号:10页码:89-100
关键词Air Fuel cells MATLAB Oxygen Oxygen supply Predictive control systems Stairs
ISSN号20054297
DOI10.14257/ijca.2016.9.10.08
英文摘要The particular interest in Proton Exchange Membrane(PEM) fuel cell is based on the possibility to generate the clean and efficiency power. The safety and high operation issues of system are closely related to the control strategy used for fuel and oxidant supply. In PEM fuel cell the oxygen excess ratio expresses the proportion between oxygen supply and consumption and represents a decisive variable for the safety and normal performance. The main control object in this work is to maintain the oxygen excess ratio at the reference value which is obtained by simulation experiments. This work is focused on the design of the nonlinear generalized predictive control strategy manipulating the air flow rate in order to maintain the oxygen excess ratio. This proposed control strategy is based on GPC, and the sequence of control increments, input increment and output constraints solving is introduced to design proposed stair-like GPC method. The experiment results base on simulation platform of PEM FUEL CELL, is built in MATLAB environment, shows the better control effect comparing with fuzzy-PID switching method. © 2016 SERSC.
语种英语
出版者Science and Engineering Research Support Society
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/103326]  
专题电气工程与信息工程学院
推荐引用方式
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Zhang HC. Nonlinear generalized predictive control for air flow rate regulation in the PEM fuel cell system[J]. International Journal of Control and Automation,2016,9(10):89-100.
APA Zhang HC.(2016).Nonlinear generalized predictive control for air flow rate regulation in the PEM fuel cell system.International Journal of Control and Automation,9(10),89-100.
MLA Zhang HC."Nonlinear generalized predictive control for air flow rate regulation in the PEM fuel cell system".International Journal of Control and Automation 9.10(2016):89-100.
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