Research Of MPC Controller Based On A State Space Model For Air-Conditioning System

Air-conditioning system is used widely in civil and commercial buildings.Although the air-conditioning system ensured people a comfortable environment of living and working,it also brought great energy consumption.A simulation platform of air-conditioning system is needed to help researchers do many optimal control strategies,decreasing the energy consumption.On the basis of state space modeling method,dynamic models for each part of an air-conditioning system were developed.The way from the models of components to a system model was discussed.The state parameters could be solved by the inputs,thus a system model was developed.Input parameters of the whole system were sorted to two categories:controllable or uncontrollable.Experiments were designed in order to verify the simulation model.Several controllable parameters changed and the influences to the supply air temperature were recorded.The experimental results were in good agreement with the simulation results.More simulations were done to investigate the different influences indifferent cases under the same disturbance.MPC controller and PI controller were designed in the simulation model.The control performances of the two controllers were compared under different disturbances.The results indicate that the MPC controller has a better control performance,and can effectively keep the supply air temperature stable.