仿人智能控制原型算法的改进

Improvement of Prototype Algorithm of Human Simulated Intelligent Control

仿人智能控制原型算法易引起控制系统的超调,没有完全模拟人的控制策略.改进的控制算法,将控制过程分为3个阶段:初始控制阶段,调整学习阶段,抗干扰阶段.不同阶段采用不同的控制策略,使其更加符合人的控制思想.实验结果表明,原型算法的控制结果相对稳定且有一定的超调和震荡,而改进的算法实现了"稳、快、准"的有机统一,取得了更好的控制效果.

The prototype algorithm of Human Simulated Intelligent Control （HSIC） leads to the overshoot easily, it can not simulate human control strategies completely. The modified algorithm of HSIC which is called Human Like Intelligent Control（HLIC） is pointed out in this paper, it divides control process into three stages： initial stage, adjusting stage and eliminating disturbance stage. The different control algorithms will be used in different stages, the control method does its best to simulate human control intelligence more nearly. The test results prove that the experimental result of the prototype algorithm is ＇relatively stable but oscillating, while that of the modified algorithm is better than the former, there is a consistency among stability, fast response and accuracy. The HLIC can be used in the process control.