Identification and control of a fuel cell system using wavelet network-based hammerstein models

Wei Wu, Da Wei Jhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Inspired by a direct internal reforming molten carbonate fuel cell (DIR-MCFC) coupled with complicated nonlinear dynamics, the identification and control design of the Hammerstein model is presented. Through the sequential identification procedure, the static nonlinearity block is considered as the wavelet network which is trained and validated by the on-line learning algorithm, and the linear dynamic block is described by the state-space model in which parameters are estimated by the recursive least square algorithm. When a nonlinear inversion via the numerical interpolation technique is established, a composite control framework is used to ensure the good output regulation.

Original languageEnglish
Title of host publication8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012
PublisherIFAC Secretariat
Pages304-308
Number of pages5
EditionPART 1
ISBN (Print)9783902823052
DOIs
Publication statusPublished - 2012
Event8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012 - Singapore, Singapore
Duration: 2012 Jul 102012 Jul 13

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume8
ISSN (Print)1474-6670

Other

Other8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012
Country/TerritorySingapore
CitySingapore
Period12-07-1012-07-13

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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