基于电子膨胀阀开度分程模糊控制的小型恒温恒湿系统性能优化
Performance optimization of small constant temperature and humidity system based on segmented fuzzy control of electronic expansion valve opening
摘要：
传统恒温恒湿箱的温湿度控制高度依赖热湿补偿,存在较多能耗损失且影响控制速度与精度。本文采用Simulink/Simscape自有模块搭建了恒温恒湿箱系统动态物理仿真模型并进行了实验验证,在此基础上提出了电子膨胀阀开度分程模糊调节策略以实现各工况下热湿联合调节及系统稳态运行下的能耗优化,创建了模糊控制模型,完成了控制模块设计及搭建并与动态物理模型进行了联合仿真。结果表明:优化后在低温低湿(5 ℃、35%)工况下,温湿度调节时间分别缩短13.3%、23.1%,稳态运行能耗下降11.9%;在高温低湿(40 ℃、30%)工况下,温湿度调节时间分别缩短36.5%、22.8%,稳态运行能耗下降8.3%;在低温高湿(5 ℃、70%)工况下,温度调节时间缩短12.9%,稳态运行能耗下降2.2%;优化后系统控制性能提升显著,在低温高湿和高温低湿等极端工况下更加突出。
Abstract：
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.
Keywords:constant temperature and humidity cabinet; electronic expansion valve; opening; fuzzy control; dynamic physical simulation; optimization