DC Motor Speed Control using Artificial Neural Network

This paper presents an insight into the speed control of DC motor using artificial neural network controller to meet the desired speed. The neural network scheme consist of two parts: one is neural estimator, which is used to estimate the motor speed and the other is the neural controller, which is used to generate a control signal for a converter. These two neural networks are trained by feed forward neural network algorithm. Simulation results are presented to demonstrate the effectiveness and advantage of control system of DC motor with ANN in comparison with conventional control scheme. For the comparison we used PID control.