Abstract-This paper introduces the new concept of Artificial

Neural Networks (ANNs) in estimating speed and

controlling the separately excited DC motor. The neural

control scheme consists of two parts. One is the neural

estimator, which is used to estimate the motor speed. The

other is the neural controller, which is used to generate a

control signal for a converter. These two networks are

trained by Levenberg-Marquardt back propagation

algorithm. Standard three layer feed forward neural

network with sigmoid activation functions in the input and

hidden layers and purelin in the output layer is used.

Simulation results are presented to demonstrate the

effectiveness and advantage of the control system of DC

motor with ANNs in comparison with the conventional

control scheme.