Neuro-Fuzzy Controller Design for a Dc Motor Drive

Mustafa, Ghazally Y.; Ali, A. Taifour; Bashier, Eisa; Elrahman, Mirghani Fateh

dc.contributor.author	Mustafa, Ghazally Y.
dc.contributor.author	Ali, A. Taifour
dc.contributor.author	Bashier, Eisa
dc.contributor.author	Elrahman, Mirghani Fateh
dc.date.accessioned	2016-11-23T11:32:55Z
dc.date.available	2016-11-23T11:32:55Z
dc.date.issued	2013-02-01
dc.identifier.citation	Mustafa, Ghazally Y.Neuro-Fuzzy Controller Design for a Dc Motor Drive/Ghazally Y. Mustafa.-Khartoum:Sudan University of Science and Technology,College of Engineering,2013.-5p:ill	en_US
dc.identifier.uri	http://repository.sustech.edu/handle/123456789/14711
dc.description	Article	en_US
dc.description.abstract	This paper presents a neuro-fuzzy controller design for speed control of DC motor. The most commonly used controller for the speed control of dc motor is the conventional Proportional-Integral-Derivative (PID) controller. The PID controller has some disadvantages like: high overshoot, sensitivity to controller gains and slow response. Fuzzy control and neuro-fuzzy control are proposed in this study. The performances of the two controllers are compared with PID controller performance. In this paper, neural networks are used in a novel way to solve the problem of tuning a fuzzy logic controller. The neuro fuzzy controller uses neural network learning techniques to tune membership functions. For the speed control of dc motor drives, it is observed that neuro-fuzzy controller gives a better response compared to other controllers	en_US
dc.description.sponsorship	Sudan University of Science and Technology	en_US
dc.language.iso	en	en_US
dc.publisher	Sudan University of Science and Technology	en_US
dc.subject	DC motor	en_US
dc.subject	PID controller	en_US
dc.subject	Fuzzy logic controller	en_US
dc.subject	Neuro-fuzzy control	en_US
dc.title	Neuro-Fuzzy Controller Design for a Dc Motor Drive	en_US
dc.type	Article	en_US