Identification and MPC control of a circulation fluidized bed boiler using an LPV model

J. Huang, G. Ji, Y. Zhu, W. Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

This work studies the identification and control of circulation fluidized bed (CFB) boilers. The CFB boiler under investigation shows strong nonlinearity due to big changes of steam load. A linear parameter varying (LPV) model is used to represent the process dynamics and used in control. The steam flow is used as the working-point variable (scheduling variable) of LPV model. Multivariable plant tests were carried out and a LPV model and a linear model were identified. The identification results of the industrial CFB boiler show that the LPV model has much higher accuracy than the linear model. The simulation studies for the MPC control of the CFB boiler have been performed using both the LPV model and the linear model. The simulation results show that the MPC using the LPV model performs better than the MPC using the linear model.
Original languageEnglish
Title of host publicationProceedings of the 9th International IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS 2010), 5-7 July 2010, Leuven, Belgium
EditorsM. Kothare, M. Tade, A. Vande Wouwer, I. Smets
Place of PublicationOxford
PublisherElsevier
Pages845-850
Publication statusPublished - 2010

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