DocumentCode :
2037439
Title :
Real-time implementation of on-line trained neuro-controller for a BLDC motor
Author :
Salem, M.M. ; Atia, Y. ; Zahran, M.B. ; Zaki, A.M.
Author_Institution :
Electron. Res. Inst., Cairo, Egypt
fYear :
2004
fDate :
3-5 June 2004
Firstpage :
154
Lastpage :
158
Abstract :
Implementation and experimental verification of a simple neuro-controller (SNC) as a speed controller for a BLDC motor is presented. The SNC with one weight and a linear hard limit activation function is trained on-line using the back propagation algorithm. A modified error function is used to ensure good performance during the on-line training, which has been used without previous off-line training. The SNC has been implemented using a computer-interface card mounted on a PC. The driving system performance has been investigated by a number of experimental tests for a variety of input reference speed trajectories.
Keywords :
adaptive control; angular velocity control; backpropagation; brushless DC motors; machine control; neurocontrollers; BLDC motor; adaptive control; backpropagation algorithm; computer interface card; error function; input reference speed trajectory; online trained neurocontroller; speed control; Adaptive control; Artificial neural networks; Automatic control; Brushless DC motors; Control systems; Control theory; DC motors; Feedforward neural networks; Neural networks; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics, 2004. ICM '04. Proceedings of the IEEE International Conference on
Print_ISBN :
0-7803-8599-3
Type :
conf
DOI :
10.1109/ICMECH.2004.1364429
Filename :
1364429
Link To Document :
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