摘要
本文选取燃料气橇为控制对象,设计了基于多变量预测函数控制算法的过程控制。选取燃料气橇供电电流以及折流板角度为被控变量,橇出口管线温度为控制变量,实现上游设备对橇出口温度的控制要求。仿真结果说明多变量控制算法具有强抗扰性以及快速收敛性等特点,能够减小燃料气橇的运行能耗及调试周期。
This paper selects the fuel gas skid as the control object,and designing the control process based on multi-variable predictive control algorithm. The model selects the power supply current as the controlled variable, and export pipeline temperature as the control variables in order to carry out the skid outlet temperature control requirements. Simulation results show that multi-variable control algorithm has strong robustness and rapid convergence characteristics, and reduce the energy consumption of fuel gas skid and debugging cycles.
出处
《仪器仪表用户》
2015年第2期18-20,22,共4页
Instrumentation
关键词
燃料气橇
预测函数控制
多变量
propylene distillation
predictive functional control
multivariate