TUNING OF FUZZY LOGIC CONTROLLER USING GENETIC ALGORITHM

Ahmed, Mohammed Almurtada Elzein

dc.contributor.author	Ahmed, Mohammed Almurtada Elzein
dc.date.accessioned	2017-06-12T07:47:59Z
dc.date.available	2017-06-12T07:47:59Z
dc.date.issued	2017-04-10
dc.identifier.citation	Ahmed, Mohammed Almurtada Elzein . TUNING OF FUZZY LOGIC CONTROLLER USING GENETIC ALGORITHM / Mohammed Almurtada Elzein Ahmed ; Awadalla Taifour Ali Ismail .- Khartoum: Sudan University of Science and Technology, college of Engineering, 2017 .- 56p. : ill. ;28cm .- M.Sc.	en_US
dc.identifier.uri	http://repository.sustech.edu/handle/123456789/17923
dc.description	Thesis	en_US
dc.description.abstract	In this dissertation, the controller be tuned using the Genetic Algorithm (GA) technique in MATLAB environment. The controller is designed based on the expert knowledge of the system. For the proposed Direct Current (DC) motor case, there are nine fuzzy rules designed for Fuzzy Logic Controller (FLC). GA is the search technique being applied in this research to determine the parameters of the controller. The output response of the system is obtained by using three types of controllers, namely, Proportional Integral Derivative (PID), FLC and FLC with GA. The results showed the better performance achieved with GA.	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	Electrical Engineering	en_US
dc.subject	Microprocessors and Control	en_US
dc.subject	ALGORITHM	en_US
dc.title	TUNING OF FUZZY LOGIC CONTROLLER USING GENETIC ALGORITHM	en_US
dc.title.alternative	ضبط متحكم المنطق الغامض باستخدام الخوارزمية الجينية	en_US
dc.type	Thesis	en_US
dc.contributor.Supervisor	Supervisor,- Awadalla Taifour Ali Ismail