机械常减压机组温度优化控制研究

Optimal Temperature Control in Mechanical Crude Distillation Units

对机械常减压机组温度进行合理控制,可以延长机械常减压机组的使用寿命。温度控制过程中,应对机械常减压机组温度进行动态、静态两个方面控制,而传统的单片机算法是通过人工调整温度参数进行温度的静态控制,不能建立机械常减压机组温度的动态控制模型,导致机械常减压机组温度控制效果不好。提出一种模糊PID机械常减压机组温度优化控制方法,通过获取大型机组温度参数关联耦合动态信息,建立机械常减压机组温度的静、动态模型,建立模糊PID温度控制规则,使模糊信息规则逻辑推理清晰化并通过模糊PID温度控制器选择量化因子,通过对选择量化因子进行调节实现机械常减压机组温度优化控制。仿真结果表明,改进算法提高了机械常减压机组温度的控制精度和效率。

An optimal temperature control method for mechanical atmospheric and vacuum units based on fuzzy PID is proposed. By acquiring the correlative coupling dynamic information of temperature parameters of the large u- nit, the static and dynamic models of the temperature of the mechanical atmospheric and vacuum units are set up. Fuzzy PID temperature control rule is set up to make the logic reasoning of fuzzy information rule clear, and the quan- titative factors are selected by the fuzzy PID temperature controller. By regulating the selected quantitative factors, the optimal temperature control of the mechanical atmospheric and vacuum units is realized. The simulation results show that the improved algorithm can increase the temperature control precision and efficiency of the mechanical at- mospheric and vacuum units.