工业生产过程中的切换动态矩阵控制

工业生产中某些过程对象的特性会随着操作区域的改变而发生较大的变化,目前,这类系统的有效控制问题仍然没有得到很好地解决.本文提出采用线性切换系统状态方程对过程进行描述,同时定义了离散切换律变量和切换模式变量.基于模型预测控制思想,推导出了一种有效的切换动态矩阵控制算法,其显著的特点在于考虑了对象特性发生变化时对预测控制输出产生的影响,从而有效地减小了控制扰动,能够获得较好的控制效果和较强的鲁棒性.为了验证控制算法,在TE(Tennessee Eastman process)过程的汽液分离器液位控制系统上进行了仿真实验,得到了比串级PID控制更满意的结果.

Switching-dynamic-matrix control in industrial production processes

In industrial production processes, the characteristics of the controlled object may change considerably when the assigned operation range is altered. How to deal with this problem effectively remains a challenge to the process control community. We develop a set of linear switched-system-state-equations to describe the production process, and define the variable of the discrete-switching-law and the variable of the switched-mode, respectively. On the basis of the modelpredictive-control philosophy, we derive an efficient switching-dynamic-matrix control algorithm, in which the impacts of the deviated characteristics on the predicted control output are taken into consideration to improve the control performance and raise the robustness. To demonstrate the advantages of the proposed algorithm, we perform simulations on the levelcontrol system of the liquid-vapor separator in a TE process. Experimental results show more satisfactory performances over the cascade PID control.