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

1 Citation (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
Pages304-308
Number of pages5
EditionPART 1
DOIs
Publication statusPublished - 2012 Oct 9
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
CountrySingapore
CitySingapore
Period12-07-1012-07-13

Fingerprint

Fuel cells
Identification (control systems)
Molten carbonate fuel cells (MCFC)
Control nonlinearities
Reforming reactions
Learning algorithms
Interpolation
Composite materials

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Cite this

Wu, W., & Jhao, D. W. (2012). Identification and control of a fuel cell system using wavelet network-based hammerstein models. In 8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012 (PART 1 ed., pp. 304-308). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 8, No. PART 1). https://doi.org/10.3182/20120710-4-SG-2026.00047
Wu, Wei ; Jhao, Da Wei. / Identification and control of a fuel cell system using wavelet network-based hammerstein models. 8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012. PART 1. ed. 2012. pp. 304-308 (IFAC Proceedings Volumes (IFAC-PapersOnline); PART 1).
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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.",
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Wu, W & Jhao, DW 2012, Identification and control of a fuel cell system using wavelet network-based hammerstein models. in 8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012. PART 1 edn, IFAC Proceedings Volumes (IFAC-PapersOnline), no. PART 1, vol. 8, pp. 304-308, 8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012, Singapore, Singapore, 12-07-10. https://doi.org/10.3182/20120710-4-SG-2026.00047

Identification and control of a fuel cell system using wavelet network-based hammerstein models. / Wu, Wei; Jhao, Da Wei.

8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012. PART 1. ed. 2012. p. 304-308 (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 8, No. PART 1).

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

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Wu W, Jhao DW. Identification and control of a fuel cell system using wavelet network-based hammerstein models. In 8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012. PART 1 ed. 2012. p. 304-308. (IFAC Proceedings Volumes (IFAC-PapersOnline); PART 1). https://doi.org/10.3182/20120710-4-SG-2026.00047