A Model Predictive Control Algorithm for Heat Medium Furnace
A model predictive controller based on data-driven algorithm was designed to address the complex heat exchange process and the coupling between system parameters in a heat medium furnace.The controlled variable is the temperature of the outlet main pipe of the heat medium,the manipulated variable is the fuel flow rate,and the disturbance variables are the temperature of the heat medium inlet and the flow rate of the heat medium.The model predictive controller can predict the future temperature changes at the outlet of the heat medium,change the amount of fuel in advance,and overcome the fluctuations caused by disturbance.The results show that the model predictive controller can better deal with the influence of disturbances such as heat medium inlet temperature and heat medium flow rate,reduce the temperature fluctuation of heat medium outlet,and improve the stability of heat medium furnace operation.
heat medium furnacemodel predictivetemperature controlalgorithm
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