DocumentCode
1700263
Title
Application of ANN Technique for DC-Motor Control by Using FEL Approaches
Author
Sabahi, Kamel
Author_Institution
Islamic Azad Univ., Mamaghan, Iran
fYear
2011
Firstpage
131
Lastpage
134
Abstract
In this paper a new adaptive method is designed for controlling of DC motor. In this method, neural network and PID controllers simultaneously are used for controlling of plant. The PID controller is used for training of the neural network feed forward controller and finally, it controls the DC motor. This approach is called feedback error learning (FEL) method. Some simulation results are done for indicating the priority of proposed method.
Keywords
DC motors; adaptive control; feedforward neural nets; machine control; neurocontrollers; three-term control; ANN technique; DC motor control; FEL approach; PID controller; feedback error learning method; neural network feedforward controller; Adaptation models; Adaptive control; Biological neural networks; DC motors; Feedforward neural networks; Stability analysis; FEL; adaptive control; dc motor; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing (ICGEC), 2011 Fifth International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4577-0817-6
Electronic_ISBN
978-0-7695-4449-6
Type
conf
DOI
10.1109/ICGEC.2011.39
Filename
6042734
Link To Document