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Comparative Analysis of Speed Control of D.C. Motor Using Artificial Intelligence

Publication Type : Journal Article

Publisher : International Journal of Control Theory and Application

Source : International Journal of Control Theory and Application, vol 9(2), pp. 1007-1014, 2016, ( Scopus Indexed )

Url : https://www.researchgate.net/publication/305173843_Comparative_analysis_of_speed_control_of_DC_motor_using_artificial_intelligence

Campus : Coimbatore

School : School of Engineering

Center : Amrita Innovation & Research

Department : Electrical and Electronics

Verified : Yes

Year : 2016

Abstract : The main aim of this paper is to find the most efficient method of control for a DC motor among PID, Fuzzy and Neuro-fuzzy logic controllers. DC engine could be spoken to by a nonlinear model when nonlinearities, for example, attractive immersion are considered. To give successful control, nonlinearities and instabilities in the model must be considered in the control design. The model of a DC engine is considered as a third request framework. The proposed model of Fuzzy and Neuro fuzzy logic controllers are compared with PID controller performance. Matlab simulation gives the evidence of effectiveness of the proposed techniques over the traditional PID controller.

Cite this Research Publication : M. Venkateshkumar “Comparative Analysis of Speed Control of D.C. Motor Using Artificial Intelligence” an International Journal of Control Theory and Application, vol 9(2), pp. 1007-1014, 2016, ( Scopus Indexed )

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