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   Implementation of Adaptive Neural Network Real-Time Speed Controller for DC-Motor   [View] 
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 Author(s)   A. M. Zaki; H. M. Mashaly; A. Abdel-Sattar; S. Wahsh; S. I. Amer 
 Abstract   This paper presents an adaptive neural network speed controller for a seperately-excited dc motor. The control objective is to track the reference speed with the presence of dynamic changes. the weights and biases of the neural network are updated successfully on-line to regulate the control voltage. Two techniques are employed in this work, the first one utilized a fixed learning rate while the second one utilized an adaptive learning rate. The adaptive neurocontroller yields better transient response for both the speed and the current with adequately fast transient response and less oscillations than the fixed learning rate. Simulation and experimental results have been obtained for step change in the reference speed at constant load torque and also for step change in the load torque at constant reference speed. 
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Filename:EPE1999 - PP00050 - Zaki A..pdf
Filesize:220 KB
 Type   Members Only 
 Date   Last modified 2004-04-08 by System