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基于RBF-PID的燃料电池空气压力控制 被引量:2

Air Pressure Control of Fuel Cells Based on RBF-PID
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摘要 空气压力是影响车用质子交换膜燃料电池输出功率的关键参数之一。为使空气压力快速适应燃料电池输出功率的变化,采用基于RBF神经网络整定的PID控制,提高了控制系统的动态性能。仿真结果表明,相对经典PID控制而言,采用RBF-PID控制的空气压力响应时间短,响应速度快。 Air pressure is a key parameter to output power of proton exchange membrane fuel cells .In order to make air pressure quickly adapts to output power of PEMFC , a PID controller adapted by RBF ANN was adopted to improve dynamic per-formance of air pressure control system .Simulation results show that the air pressure control system had better control perform -ance in responding time and responding speed than conventional PID .
出处 《武汉理工大学学报(信息与管理工程版)》 CAS 2014年第5期618-621,共4页 Journal of Wuhan University of Technology:Information & Management Engineering
基金 国家"863"计划基金资助项目(2006AA11A133)
关键词 质子交换膜燃料电池 RBF—PID 空气压力控制 Proton exchange membrane fuel cells RBF -PID air pressure control
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  • 1郭爱,陈维荣,李奇,刘志祥,李艳昆.燃料电池机车温度系统建模和控制[J].系统仿真学报,2015,27(1):133-141. 被引量:6
  • 2KULIKOVSKY A A.One-dimensional impedance of the cathode side of a pem fuel cell:exact analytical so- lution[J].Journal of the Electrochemical Society,2015,126(3):217-222.
  • 3LEI Xing,MAMLOUK M,SCOTT K.A two dimension- al agglomerate model for a proton exchange membrane fuel cell[J].Energy,2013,61:196-210.
  • 4CHAUDHAHY S,SACHAN V K,BHATTACHARYA P K.Two dimensional modeling of water uptake in pro- ton exchange membrane fuel cell[J].International Journal of Hydrogen Energy,2014,39(31):17802-17818.
  • 5BIZON N,0PR0ESCU M HiRACEANU M.Efficient energy control strategies for a standalone renewable/fu- el cell hybrid power source[J].Energy Conversion and Management,2015,90:93-110.
  • 6ZHAN Yuedong,GUO Youguang,ZHU Jianguo,et al. Power and energy management of grid/PEMFC/batter- y/supercapacitor hybrid power sources for UPS appli- cations[J].Electrical Power and Energy Systems,2015,67:598-612.
  • 7YANG YanxiajLUO Xu,DAI Chahua,et al.Dynamic modeling and dynamic responses of grid-connected fuel cell[J].International Journal of Hydrogen Energy,2014,39(26);14296-14305.
  • 8PURANIK S V,KEYHANI A,KHORRAMI F.Neural network modeling of proton exchange membrane fuel cell[J].IEEE Transactions on Energy Conversion,2010,25(2):474-483.
  • 9CHENG JixiangtZHANG Gexiang.Parameter fitting of PEMFC models based on adaptive differential evolution[J].International Journal of Electrical Power and En- ergy Systems,2014,62:189-198.
  • 10ZHANG Li,WANG Ning.An adaptive RNA genetic algorithm for modeling of proton exchange membrane fuel cells[J].International Journal of Hydrogen Ener- gy,2013,38:219-228.

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