Application of diagonal recurrent neural network to DC motor speed control systems

被引：0
|
作者：
Wang, Jing [1 ]
Chen, Hui [1 ]
机构：
[1] Information Engineering School, University of Science and Technology Beijing, Beijine 100083, China
来源：
| 2000年 / University of Science and Technology Beijing, Beijing, China卷 / 07期
关键词：
Adaptive control systems - Computer simulation - Control system analysis - Recurrent neural networks - Speed control - Two term control systems;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A new kind of dynamic neural network - diagonal recurrent neural network (DRNN) and its learning method and architecture are presented. A direct adaptive control scheme is also developed that is applied to a DC (Direct Current) speed control system with the ability to auto-tone PI (Proportion Integral) parameters based on combining DRNN with PI controller. The simulation results of DRNN show better control performances and potential practical use in comparison with PI controller.
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