Speed sensorless control based artificial neural network for direct current motor

Abstract EN

In this paper, A robust adaptive speed sensorless by a neural network approach of a separately excited (DC) motor without the use of speed sensors is presented.

The simulation carried out by Matlab backage.

The actual speed is estimated using a feed-forward neural network, the neural estimator have three inputs which are armature current, armature voltage, and the speed in the previous step of time; and one output which represents the estimated speed.

The obtained results are presented to show the validity and efficiency of sensorless control scheme, which in turn obtains high performances.