大型低温环境模拟试验系统Smith模糊专家PID控制算法实现

大型低温（空气制冷）环境模拟试验系统的模型复杂、干扰因素多、安全性差，亟待寻求先进的控制方法支持。为此，结合工程实例，以系统动态性能参数实测数据为基础，引入了Smith预估超前控制与模糊专家PID控制算法相结合的方法，以增强系统控制规律的自适应性、控制过程的安全性，显著改善和提高系统的鲁棒性能和自动化控制水平，满足实际工程需要且易于工程实现。

Implementation of Smith-Fuzzy-Expert-PID Algorithm for Low Temperature Environment Simulation Test System

An advanced control method is necessary for large low temperature (air cooling) environ?ment simulation test system because of its complexity, more interference factors and poor safety. For this purpose, a Smith-Fuzzy-Expert-PID control algorithm based on measured data of system dynamic performance parameters was introduced into the system as a control tactics to enhance the adaptability of system control law, the safety of control process, the robustness and automatic control level of the system. The experimental results show that the algorithm meets the requirements of the system and is easily implemented.