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.
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.
Citation:
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.
Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China
中文摘要
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.
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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