DocumentCode :
1911247
Title :
Speed control of a DC motor using BP neural networks
Author :
Liu, Zilong ; Zhuang, Xianyi ; Wang, Shuyi
Author_Institution :
Dept. of Control Sci. & Eng., Harbin Inst. of Technol., China
Volume :
2
fYear :
2003
fDate :
23-25 June 2003
Firstpage :
832
Abstract :
In tackling the problem of the speed control of a DC motor, the conventional constant gain feedback controller fails to maintain the performance of the system at acceptable levels under unknown in dynamics load torque. Meanwhile, artificial neural networks, so far acting as the effective tools to implement the model and adaptive control in a complicated nonlinear system, have got extensive applications. Thus in order to shun the drawbacks of the conventional constant gain feedback controller, this paper makes use of the power of feedforward artificial neural networks to identify and control online, and therefore modulate a rational control rate. Finally, this method is proven to be feasible by virtue of the simulation results.
Keywords :
DC motors; angular velocity control; backpropagation; feedforward neural nets; machine control; neurocontrollers; nonlinear dynamical systems; parameter estimation; torque; BP neural networks; DC motor; complicated nonlinear systems; feedforward artificial neural networks; load torque; online control; online identification; rational control rate; speed control; Adaptive control; Artificial neural networks; DC motors; Difference equations; Feedforward neural networks; Motor drives; Neural networks; Nonlinear dynamical systems; Rotors; Velocity control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 2003. CCA 2003. Proceedings of 2003 IEEE Conference on
Print_ISBN :
0-7803-7729-X
Type :
conf
DOI :
10.1109/CCA.2003.1223117
Filename :
1223117
Link To Document :
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