Programs
- Ph. D. in Mechanical Engineering -
- B.Tech. in Artificial Intelligence (AI) and Data Science (Medical Engineering) - Undergraduate
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 )
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 )