预见控制理论分类及其研究进展

Classification and Research Progress of Predictive Control Theory

随着现代控制理论发展日趋完善,预见控制研究发展也十分迅速。预见控制问题的目标是在给定参考信号和干扰信号的前提下,找到一个使被控输出功率最小的控制器。因此预见控制非常适合用于具有已知预见参考信号的系统设计,所以在自动车辆导航、机器人和过程控制等方面的应用十分广泛。本文介绍了预见控制问题并给出离散系统预见控制问题描述,同时从时间域、方法域上分别对预见控制求解方法进行分类。介绍了各研究人员在预见控制领域所做的努力。在未来,预见控制领域中存在着巨大的研究前景。

With the development of modern control theory,the research on predictive control is developing rapidly.The goal of the predictive control problem is to find a controller that minimizes the controlled output power on the premise of given reference signal and interference signal.Therefore,predictive control is very suitable for the design of systems with known predictive reference signals,so it is widely used in automatic vehicle navigation,robot and process control.This paper introduces the predictive control problem and gives the description of the discrete system predictive control problem,and classifies the predictive control solution methods from time domain and method domain respectively.The efforts made by various researchers in the field of foresight control are introduced.In the future,there are great research prospects in the field of predictive control.