Research on Model Predictive Control of a 130 t/h Biomass Circulating Fluidized Bed Boiler Combustion System Based on Subspace Identification

Heng Wei, Shanjian Liu (), Jianjie He, Yinjiao Liu and Guanshuai Zhang
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Heng Wei: School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China
Shanjian Liu: School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China
Jianjie He: School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China
Yinjiao Liu: School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China
Guanshuai Zhang: School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China

Energies, 2023, vol. 16, issue 8, 1-15

Abstract: The structure of large biomass circulating fluidized bed (BCFB) boilers is complex, and control schemes for coal-fired boilers cannot be simply applied to biomass boilers. Multivariable coupling and operational disturbances are also common issues. In this study, a state space model of a 130 t/h BCFB boiler was established under different operating conditions. Using the 100% operating point as an example, a model predictive controller was designed and tested under output disturbance and input disturbance conditions. The results show that the predictive control system designed in this study has a fast response speed and good stability.

Keywords: biomass; circulating fluidized bed; combustion system; dynamic simulations; subspace identification; model predictive control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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