Speed control of permanent magnet D.C. motor using neural network control

Abstract EN

This paper proposes the speed control of a permanent magnet direct current (PMDC) motor by varying armature voltage.

The objective is to control the rotor angular speed to follow the desired value.

The main feature of the proposed controller is neural network, which captures the nonlinearity system of the motor.

Neural network (NN) performance is compared with the conventional controller performance like PI (Proportional-Integral) controller to show that NN performance is excellent.

Numerous work reported in recent past have shown that Artificial Neural Network (ANN) controller has a potential to replace the conventional PI controller.

Artificial Neural Network control l apparently offers a possibility of obtaining an improvement in the quality of the speed response, compared to PI control.

This research proposes NARMA-L2 (Nonlinear Autoregressive-Moving Average) as an improved ANN technique, and trained as a close loop controller, which gives an ideal performance as compared with PI controller to control the angular speed of rotor in a permanent magnet dc (PMDC) motor.

Simulation results show the effectiveness of the proposed control scheme.

The entire system has been modeled using MATLAB toolbox.