Nonlinear Dynamic Modeling of Fuel Cell Systems Using Wavelet Network-Based Hammerstein Models

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN

Hsiao-Tung Yang²  Wei Wu²  Da-Wei Jhao¹ 

[1] Department of Chemical and Materials Engineering, National Yunlin University of Science and Technology;Department of Chemical Engineering, National Cheng Kung University

关键词: Hammerstein Model;    Wavelet Network;    Fuel Cell;    Identification;   

DOI  :  10.1252/jcej.13we039

来源: Maruzen Company Ltd

【 摘 要 】

References(21)Cited-By(1)A control-oriented multivariable Hammerstein model is used to identify the strongly nonlinear dynamics of fuel cell systems that are described by nonlinear differential or differential-algebraic equations. Within the Hammerstein model framework, the static nonlinear part is constructed by a wavelet network, and the linear dynamic part is described by a discrete-time transfer function of the state-space model. For prescribed input-output patterns for high-order fuel cell systems, simulations demonstrate the accuracy of system identification using wavelet networks in the Hammerstein structure that is better than that in the neural network structure.

【 授权许可】

Unknown