Performance optimization of small constant temperature and humidity system based on segmented fuzzy control of electronic expansion valve opening

The temperature and humidity control of traditional constant temperature and humidity cabinets is highly dependent on heat and humidity compensation, resulting in significant energy loss and affecting control speed and accuracy. This article uses Simulink/Simscape’s native modules to build a dynamic physical simulation model of a constant temperature and humidity cabinet system and conducts experimental verification. Based on this, a segmented fuzzy adjustment strategy for the opening range of electronic expansion valves is proposed to achieve joint regulation of heat and humidity under various operating conditions and energy consumption optimization under steady-state operation of the system, a fuzzy control model is developed, the control module is designed and built, and the co-simulation with a dynamic physical model is conducted. The results show that after optimization, the temperature and humidity adjustment time is shortened by 13.3% and 23.1% respectively under the low temperature and low humidity (5 ℃, 35%) condition, and the steady-state operating energy consumption is reduced by 11.9%. Under the high temperature and low humidity (40 ℃, 30%) condition, the temperature and humidity adjustment time is shortened by 36.5% and 22.8% respectively, and the steady-state operating energy consumption is reduced by 8.3%. Under the low temperature and high humidity (5 ℃, 70%) condition, the temperature adjustment time is shortened by 12.9%, and the steady-state operating energy consumption is reduced by 2.2%.The optimized system demonstrates significant improvements in control performance, especially under extreme conditions such as low temperature with high humidity and high temperature with low humidity.