| 一种基于预测补偿的人工智能伺服控制系统 |
| |
| 引用本文： | 张君,黄鹤,张国忠. 一种基于预测补偿的人工智能伺服控制系统[J]. 武汉大学学报(工学版), 2001, 34(5): 64-68 |
| |
| 作者姓名： | 张君 黄鹤 张国忠 |
| |
| 作者单位： | 武汉大学动力与机械学院，湖北武汉 430072 |
| |
| 摘 要： | 将神经元与模糊控制器相结合 ,利用自适应神经元 (APE)预测输出信号yp(t +1)与目标值R比较后 ,生成误差预测值ep(t +1) ,即预测超调量的负补偿量 ,补偿模糊控制器输出的控制信号ec,减小超调量 .在此基础上设计了基于预测补偿的人工智能控制器 ,从而达到了克服控制系统稳定性与快速性矛盾的目的
|
| 关 键 词： | 自适应神经元 模糊控制 反相补偿 超调 |
| 文章编号： | 1006-155X(2001)05-064-005 |
| 修稿时间： | 2000-04-21 |
An artificial intelligent servo control system based on predictive compensation |
| |
| ZHANG Jun,HUANG He,ZHANG Guo_zhong. An artificial intelligent servo control system based on predictive compensation[J]. Engineering Journal of Wuhan University, 2001, 34(5): 64-68 |
| |
| Authors: | ZHANG Jun HUANG He ZHANG Guo_zhong |
| |
| Abstract: | By combining neuron with fuzzy controller, and using the adaptive neuron to predict outcoming signal y-p(t+1), and compared it with the target value R, then the error of predicting value e-p(t+1) is generated, i.e. predicting the negative compensation of overshoot, compensating control signal e-c which is generated from fuzzy cntroller so as to reduce the overshoot. On this basis, an artificial intelligent controller based on predictive compensation is designed so as to reach the aim of overcoming contradiction of stability and responsiveness of the control system. |
| |
| Keywords: | adaptive neuron fuzzy control phase inversion compensation overshoot |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
