Frontiers of Electrical and Electronic Engineering >
Experimental verification of chopper fed DC series motor with ANN controller
Received date: 01 Sep 2012
Accepted date: 25 Sep 2012
Published date: 05 Dec 2012
Copyright
In this article an artificial neural network (ANN) has been designed for the control of DC series motor through a DC chopper (DC-DC buck converter). The proportional-integral-derivative (PID)-ANN speed controller controls the motor voltage by controlling the duty cycle of the chopper thereby the motor speed is regulated. The PID-ANN controller performances are analyzed in both steady-state and dynamic operating condition with various set speeds and various load torques. The rise time, maximum overshoot, settling time, steady-state error, and speed drops are taken for comparison with conventional PID controller and existing work. The training samples for the neuron controller are acquired from the conventional PID controller. The PID-ANN controller performances are analyzed in respect of various load torques and various speeds using MATLAB simulation. Then the designed controllers were experimentally verified using an NXP 80C51 based microcontroller (P89V51RD2BN). It was found that the hybrid PID-ANN controller with DC chopper can have better control compared with conventional PID controller.
M. MURUGANANDAM , M. MADHESWARAN . Experimental verification of chopper fed DC series motor with ANN controller[J]. Frontiers of Electrical and Electronic Engineering, 2012 , 7(4) : 477 -489 . DOI: 10.1007/s11460-012-0211-1
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