Temperature Control of PEMFC Stack Based on BP Neural Network
Guo Li, Yang Li
Abstract
Open-access reader
Guo Li, Yang Li
Abstract
Open-access reader
PEMFC (proton exchange membrane fuel cell) Stack temperature control system is a strong-coupling system with characteristics of time-change, long-hysteresis, uncertainty and nonlinear.The dissertation studied PEMFC stack temperature control used by BP neural network controller which has a good control quality and a low degree of demand for model.In the Matlab platform, the model of the electric reactor temperature control system is established and compared with the traditional PID.It has been proved that BP neural network control system has very good robustness and control quality and it meet the demand of PEMFC stack temperature control system.
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PEMFC (proton exchange membrane fuel cell) Stack temperature control system is a strong-coupling system with characteristics of time-change, long-hysteresis, uncertainty and nonlinear.The dissertation studied PEMFC stack temperature control used by BP neural network controller which has a good control quality and a low degree of demand for model.In the Matlab platform, the model of the electric reactor temperature control system is established and compared with the traditional PID.It has been proved that BP neural network control system has very good robustness and control quality and it meet the demand of PEMFC stack temperature control system.
Key concepts: Stack (abstract data type), Proton exchange membrane fuel cell, PID controller, Robustness (evolution), Temperature control, Artificial neural network, Control theory (sociology), Control system