Air current field temperature control system based on predictive functional control

In this paper, a structure of Air current field temperature control system (ACFTCS) is introduced and the dynamic model is developed from the point of view of total power balance (i.e., absorbed power is equal to dissipated power). Considering that dynamic model of ACFTCS is a high-order form, in order to analysis conveniently, a first order plus dead-time model of system is acquired by model reducing method. A predictive functional control (PFC) technique is applied to the temperature control of the ACFTCS on the basis of presentation of predictive functional control (PFC) algorithm for first order plus dead-time system. To verify the validity and effectiveness of the developed model and PFC control strategy, simulations and experiments are carried out. Experiment results shown that absolute and relative error are from 0.01 to 0.24°C as well as 0.04% to 1.8%respectively when setpoint temperature varying from 5 to 65°C. Simulation results shown that the control strategy is effective and a good control performance is obtained in regard of setpoint tracking, robustness properties, and disturbance rejection.