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

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...

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Bibliographic Details
Published in:Energies (Basel) 2023-04, Vol.16 (8), p.3421
Main Authors: Wei, Heng, Liu, Shanjian, He, Jianjie, Liu, Yinjiao, Zhang, Guanshuai
Format: Article
Language:English
Subjects:
Air flow
Biomass
Biomass burning
Biomass energy
Boilers
Carbon
circulating fluidized bed
Coal-fired power plants
combustion system
Control systems
Control systems design
Control theory
Controllers
Design
Design and construction
dynamic simulations
Efficiency
Fluidized beds
Fluidized-bed combustion
Fluidized-bed furnaces
Heat
Identification
Industrial plant emissions
Mathematical models
model predictive control
Process controls
Renewable resources
State space models
Steam pressure
subspace identification
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Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en16083421