灰色预测在过程控制中的应用

APRELIMINARG STUDY ON GREY PREDICTIVE CONTROL OF INDUSTRIAL PROCESSES

针对具有纯滞后的系统的控制，本文采用了一种基于ＧＭ（１，１）模型的灰色预测控制算法，这种新型控制器的主要优点是不需要掌握关于被控对象模型结构的先验信息，并具有计算简单、自适应性强等特点，是一种通用控制器，数值仿真及对比试验表明，本文采用的方案是正确的，算法是有效的。

For the control of time lag system,a kind of grey predictive control algorithm is presented in this theses.One of the main advantages of this new controller which is based on GM(1,1)is that it does not require prior structural information about the model of controlled process;Besides,it is a simple,adaptive and general controller.Simulation and contrast result showed theories of this thesis are correct,the algorithms are effective.