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.
Keywords :
Mat lab Rotating machine Simulation Artificial neural networks(ANN) Learning of A NN Structure of ANN DC motor.
Article:
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DOI : 10.36106/ijsr
Cite This Article:
B. Gowri Prasad, S. Hemachandra, B. Suneetha, A. Jayanth Speed Generation and Control of DC Motor Using Neural Network Configuration International Journal of Scientific Research, Vol.II, Issue.V May 2013
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References :
B. Gowri Prasad, S. Hemachandra, B. Suneetha, A. Jayanth Speed Generation and Control of DC Motor Using Neural Network Configuration International Journal of Scientific Research, Vol.II, Issue.V May 2013
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