一种拟人智能控制的控制律定量方法

A Method of Quantifying the Qualitative Control Law of Human-imitating Intelligent Control

拟人智能控制是基于对被控对象物理分析,采用广义规约得到定性控制律的控制理论,但是在定性控制律定量化的方面还存在着一些不足。本文提出一种参数寻优的方法,将控制的一般规律引入到遗传算法中去,启发搜索的过程,进而加速算法的收敛,实现拟人智能控制的定性控制律的快速定量化。

Human-imitating control is a theory based on analyses of the physical model of the controlled system and using generalized stipulations to get a qualitative control law. But there are still plenty of shortcomings in this theory, when the qualitative control law is converted into the quantitative control law. In this paper a method of parameter-optimization is presented. The general control knowledge is included in the method to increasing the method constriction.