Author
Abstract
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
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 ANNtechnique,
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.
Keywords
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