Modelling of Artificial Neural Network Controller for Electric Drive in Virtual Laboratory

被引：1

作者：

Gorobetz, Mikhail ^{[1
]}

Levchenkov, Anatoly ^{[1
]}

机构：

[1] Riga Tech Univ, Fac Elect & Power Engn, Riga, Latvia

来源：

2008 UKSIM TENTH INTERNATIONAL CONFERENCE ON COMPUTER MODELING AND SIMULATION | 2008年

关键词：

D O I：

10.1109/UKSIM.2008.108

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper authors presents modelling of neural network controller to control speed of DC drive. Main tasks of this research are to use artificial neural network for speed control of DC drive in virtual laboratory. The feed-forward back-propagation neural network is used for controller. Levenberg-Marquardt back-propagation algorithm is proposed as a training method. Neural network is trained to maintain rotation speed of DC drive in defined interval. Results of modelling show the possibility to use neural network controller for speed control of DC drive

引用

页码：198 / 203

页数：6