WOA-based fuzzy self-tuning PID evaporative source temperature control

Abstract

With the consumption of global resources, photovoltaic technology has attracted worldwide attention as a clean energy source. Perovskite solar cells are recognized as one of the most promising new photovoltaic technologies because of their low cost and high efficiency. In the preparation of perovskite thin films by resistance thermal vacuum evaporator, the temperature change of the evaporation source is nonlinear, time-varying, and hysteresis. The traditional control methods have a slow response and large fluctuation, which cannot meet the precise and fast temperature control and affect the film quality. This paper proposes a fuzzy self-tuning PID evaporation source temperature control system based on Whale Optimization Algorithm (WOA). The WOA is combined with the segmentation control system together to form the WOA optimized control system. Compared with the common segmentation control algorithm, the improved algorithm reduces the response time by 16.1% and the regulation time by 23.2% while the overshoot is reduced by 75%, and the system can be stabilized with a better control effect even when the evaporation source model parameters are changed. The results show that the improved control system can improve the control effect of the system and reduce the response time and overshoot. The results show that the improved control system has effectively increased the efficiency of the vacuum coating.