Output Voltage Control of PEM Fuel Cell Based on Neural Network

Kai Ou; Dong Ji Xuan; Ting Wang; Shi Yi Ren

doi:10.4028/www.scientific.net/AMR.800.483

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Study on the Adsorption of O-Aminobenzoic Acid (OABA) with the Adsorption Resins Modified Chemically
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 800Output Voltage Control of PEM Fuel Cell Based on...

Output Voltage Control of PEM Fuel Cell Based on Neural Network

Abstract:

The system of PEMFC is nonlinear, people who want to control the nonlinear system directly is hard to come true the goal they want.Characteristic of fuel cells polarization curve is determined by current vary,partial pressure of gasses (hydrogen and oxygen),working temperature,humidity of membrane and so on [. NARMA_L2 controller can transfer the nonlinear system into linear system by concealing the nonlinearities. And Neural networks have been applied successfully in the identification and control of dynamic systems. In this paper, the fuel cell model would be controlled by NAMRA_L2.

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Periodical:

Advanced Materials Research (Volume 800)

Pages:

483-487

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.800.483

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Online since:

September 2013

Authors:

Kai Ou, Dong Ji Xuan, Ting Wang, Shi Yi Ren

Keywords:

Electrochemical Model, NARMA_L2 Controller, Neural Network (NN), PEM Fuel Cell

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