Title :
Application of ANN Technique for DC-Motor Control by Using FEL Approaches
Author_Institution :
Islamic Azad Univ., Mamaghan, Iran
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;
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
DOI :
10.1109/ICGEC.2011.39
