Two-degree-of-freedom internal model control of particle swarm optimization for flow temperature control system in phase change material packaging technology

Abstract

In this article, a phase change material packaging process system was designed. In view of the hysteresis of the system flow temperature control, a two-degree-of-freedom internal model PID (PSO-TDF-IMC-PID) controller based on particle swarm optimization was determined based on the flow regulating valve model, so as to control the phase change material outlet temperature to keep constant with establishing the system heat transfer model. Compared with other control algorithms, the PSO-TDF-IMC-PID algorithm is proved to be fast, anti-interference and robust. The traditional integral of time multiplied by the absolute value of error criterion performance index is improved, and the improved integral of time multiplied by the absolute value of error criterion is applied to PSO-TDF-IMC-PID algorithm for simulation comparison. Simulation results show that the improved integral of time multiplied by the absolute value of error criterion can effectively eliminate overshoot. The overshoot is reduced from the original 8% to almost 0. To reduce system energy consumption and improve economy, energy consumption constraint conditions are added into the variable trial-error algorithm to calculate economic flow rate and inlet temperature of heat conduction oil. The results show that the dynamic parameters of the system accord with the constraint condition of energy consumption.