Speed Generation and Control of DC Motor  Using Neural Network Configuration

B. Gowri Prasad; S. Hemachandra; B. Suneetha; A. Jayanth

Volume : II, Issue : V, May - 2013

Speed Generation and Control of DC Motor Using Neural Network Configuration

B. Gowri Prasad, S. Hemachandra, B. Suneetha, A. Jayanth

Abstract :

The mechanical energy generated by a DC rotating machine (motor) is proportional to the armature current and the strength of the magnetic field. Based on the mathematical model of a DC rotating machine, a simplified model using Mat lab/Simulink is presented in this study. The simulation results and analyses of the machine output with loading and unloading condition is discussed in detail. The speed of DC motor is estimated and controlled using the concept of ANN. The Neural Network scheme consists of two parts: one is the 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. Simulation results are presented to demonstrate the effectiveness and advantage of control system of DC motor with ANNs in comparison with the conventional control scheme.