Application of Numerical GPC for Temperature Control

Abstract

Abstract We design a controller based on generalized predictive control (GPC), which is mainly used to intelligently regulate the temperature in a constant temperature warehouse with uncertain parameters. We model it in a generalized control system and use the properties of GPC to make this controller adaptive to different parameters and resistant to random disturbances. Since the warehouse has high requirements for temperature control, we extend the GPC method appropriately numerically and use its numerical equivalent proposition to construct a fast solution algorithm, which is applied in specific simulation experiments. The simulation results prove that the controller we constructed is effective with high adaptability to different parameters and random disturbances and can resist destructive disturbances to a certain extent.