Model Predictive Control and Controller Parameter Optimisation of Combustion Instabilities

I. Yazar*, F. Caliskan, R. Vepa

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In this paper the application of model predictive control (MPC) to a two-mode model of the dynamics of the combustion process is considered. It is shown that the MPC by itself does not stabilize the combustor and the control gains obtained by applying the MPC algorithms need to be optimized further to ensure that the phase difference between the two modes is also stable. The results of applying the algorithm are compared with the open loop model amplitude responses and to the closed loop responses obtained by the application of a direct adaptive control algorithm. It is shown that the MPC coupled with the cost parameter optimisation proposed in the paper, always guarantees the closed loop stability, a feature that may not always be possible with an adaptive implementations.

Original languageEnglish
Pages (from-to)185-194
Number of pages10
JournalInternational Journal of Turbo and Jet Engines
Volume36
Issue number2
DOIs
Publication statusPublished - 1 May 2019

Bibliographical note

Publisher Copyright:
© 2019 Walter de Gruyter GmbH, Berlin/Boston.

Funding

Funding: This study was supported from Eskisehir Osmangazi University fund of scientific research project No. 2015-975.

FundersFunder number
Eskisehir Osmangazi University fund of scientific research2015-975

    Keywords

    • Active combustion control
    • Adaptive control
    • Combustion instability
    • Model predictive control
    • Particle swarm optimization
    • Thermosacoustic wave

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