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Pressure control of PEMFC distributed power generator

Pressure control of PEMFC distributed power generator
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摘要 Control design is important for PEMFC (proton exchange membrane fuel cell) distributed power generator to satisfy user requirement for safe and stable operation. For a complex multi-variable dynamic system, a dynamic simulation model is first established. In view of close coupling and non-linear relationships between variables, the intelligent auto-adapted PI decoupling control method is used. From the simulation results it is found that, by bringing quadratic performance index in the single neuron, constructing adaptive PI controller, and adjusting gas flow rates through the second pressure relief valve and air compressor coordinately, both anode and cathode pressures can be maintained at ideal levels. Control design is important for PEMFC (proton exchange membrane fuel cell) distributed power generator to satisfy user requirement for safe and stable operation. For a complex multi-variable dynamic system, a dynamic simulation model is first established. In view of close coupling and non-linear relationships between variables, the intelligent auto-adapted PI decoupling control method is used. From the simulation results it is found that, by bringing quadratic performance index in the single neuron, constructing adaptive PI controller, and adjusting gas flow rates through the second pressure relief valve and air compressor coordinately, both anode and cathode pressures can be maintained at ideal levels.
机构地区 Institute of Puel Cell
出处 《Journal of Shanghai University(English Edition)》 CAS 2006年第3期262-267,共6页 上海大学学报(英文版)
基金 Project supported by National High-Technology Research andDevelopment Program of China (Grant No .2002AA517020)
关键词 proton exchange membrane fuel cell (PEMFC) distributed power generator pressure control flow rate PI decoupling control quadratic performance index single neuron adaptive PI controller. proton exchange membrane fuel cell (PEMFC), distributed power generator, pressure control, flow rate, PI decoupling control, quadratic performance index, single neuron adaptive PI controller.
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