多变量预测控制技术在芳烃抽提甲苯塔中的应用

摘要

In complex industrial process control, industrial control some dynamic behavior because of its strong coupling, nonlinear, time-varying and time delay characteristics change. So an ideal plant controller should have to make the case without violating constraints as close to the actual value, in order to better get the best value for money. According to the project application, we use the method and the control mentality multivariable model predictive control, combined with the multivariable model predictive control technology application results in toluene aromatics extraction tower , obtained compared to conventional control methods, multivariate model predictive control technique can improve the operational stability of the production apparatus, device yield and product quality conclusions.%在复杂的工业过程控制中,一些工业控制的动态行为会因为其强耦合、非线性、时变性和纯滞后等特点发生改变.所以一个理想的控制器应当具有使生产装置在不违反约束条件的情况下尽可能的接近实际值,才能更好地获取最佳经济效益.根据工程应用情况,文中采用了多变量模型预测控制的方法和控制思路,结合了多变量模型预测控制技术在芳烃抽提甲苯塔中的应用效果,得出了相比常规控制方法,多变量模型预测控制技术能够有效地提高生产装置的操作稳定性、装置的产量和产品质量的结论.