Application of Diagonal Recurrent Neural Network to DC Motor Speed Control Systems

Jing Wang; Hui Chen

Volume 7 Issue 1

Mar. 2000

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Jing Wangand Hui Chen, Application of Diagonal Recurrent Neural Network to DC Motor Speed Control Systems, J. Univ. Sci. Technol. Beijing, 7(2000), No. 1, pp. 68-71.

Cite this article as:

Jing Wangand Hui Chen, Application of Diagonal Recurrent Neural Network to DC Motor Speed Control Systems, J. Univ. Sci. Technol. Beijing, 7(2000), No. 1, pp. 68-71.

Jing Wangand Hui Chen, Application of Diagonal Recurrent Neural Network to DC Motor Speed Control Systems, J. Univ. Sci. Technol. Beijing, 7(2000), No. 1, pp. 68-71.

Citation:

Jing Wangand Hui Chen, Application of Diagonal Recurrent Neural Network to DC Motor Speed Control Systems, J. Univ. Sci. Technol. Beijing, 7(2000), No. 1, pp. 68-71.

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Application of Diagonal Recurrent Neural Network to DC Motor Speed Control Systems

Jing Wang and
Hui Chen

+ Author Affiliations

Received: 25 March 1999

Abstract

Abstract

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-tune 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.
- diagonal recurrent neural network;
- PI controller;
- DC Motor speed control system