Cite this article as:

Jing Wang, and 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 Wang, and 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

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-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.

 

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

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.

 

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