Research on the temperature system of an evaporator based on Smith-VUF PID

Temperature serves as a critical process parameter in industrial systems, directly influencing reaction kinetics, product quality, and operational efficiency. The variation of temperature can affect reaction rate, product quality, and impurity generation, directly impacting production efficiency and product performance. However, due to the nonlinearity of temperature control systems, traditional controllers cannot meet design requirements, particularly in scenarios demanding high - temperature control accuracy, it is difficult for them to achieve a small deviation range. Therefore, this study focuses on the evaporator as the controlled object and conducts modeling, simulation analysis, and control strategy research on the evaporator temperature control system. It establishes the Smith-variable universe fuzzy PID(Smith-VUF-PID) temperature control system and deploys control strategies, solving issues such as large overshoot and inadequate control accuracy often encountered with traditional methods.