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Dynamic Control of Electric Output Characteristics of Proton Exchange Membrane Fuel Cell System

Dynamic Control of Electric Output Characteristics of Proton Exchange Membrane Fuel Cell System
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摘要 This paper discusses dynamic characteristics of proton exchange membrane fuel cell (PEMFC) under rapid fluctuation of power demand. Wavelet neural network is adopted in the identification of the characteristic curve to predict the voltage. The system control scheme of the voltage and power is introduced. The corresponding schemes for voltage and power control are studied. MATLAB is used to simulate the control system. The results reveal that the adopted control schemes can produce expected effects. Corresponding anti-disturbance and robustness simulation are also carried out. The simulation results show that the implemented control schemes have better robustness and adaptability. This paper discusses dynamic characteristics of proton exchange membrane fuel cell (PEMFC) under rapid fluctuation of power demand. Wavelet neural network is adopted in the identification of the characteristic curve to predict the voltage. The system control scheme of the voltage and power is introduced. The corresponding schemes for voltage and power control are studied. MATLAB is used to simulate the control system. The results reveal that the adopted control schemes can produce expected effects. Corresponding anti-disturbance and robustness simulation are also carried out. The simulation results show that the implemented control schemes have better robustness and adaptability.
出处 《Journal of Shanghai University(English Edition)》 CAS 2005年第3期261-267,共7页 上海大学学报(英文版)
关键词 wavelet neural network delay estimate Smith estimator adaptive fuzzy PID proton exchange membrane fuel cell ^(PEMFC). wavelet neural network, delay estimate, Smith estimator, adaptive fuzzy PID, proton exchange membrane fuel cell ^(PEMFC).
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