Abstract: A model based multivariable coordinated control algorithm is presented in this paper to meet the complex requirements of industrial process. The control algorithm takes both the control performance of controlled variables and the Ideal Resting Values(IRV) of manipulated variables into consideration. In a system with more inputs than outputs the controller first makes every effort to drive the controlled variables to their setpoints, then if it is possible, makes some of the manipulated variables approach their IRV in economic consideration. For a system with less inputs than outputs, the controller enforcesdiffer-ent control efforts to the controlled variables according to their economic importance. The condition for a unique solution, steady state property and stability of the controller are given in this paper, providing a theoretical guideline for the controller parameter tuning. A FCCU fractionator is introduced here as a case study , for which an multivariable control strategy is developed by using the coordinated algorithm. Simulated results demonstrated that the control algorithm presented in this paper possesses good control performances and practical significance.

摘要： 给出的基于模型的多变量协调控制技术将被控变量的动态控制问题与操作变量的静态优化问题有机地结合起来.对于操作变量多于被控变量的“胖”系统,本控制技术在保证对关键变量实施定点控制的同时,综合考虑操作变量的控制速度、操作成本等经济因素,尽可能将一些操作变量协调至理想操作区内,达到优化(节能、降耗)的目的.对于操作变量少于被控变量的“瘦”系统,则据被控变量的重要程度对其施加不同的控制.给出了控制器的唯一解条件、稳态无差和稳定性性质.针对催化裂化主分馏塔给出的仿真结果说明本协调控制有良好的控制性能,适合生产过程的需要.