TUNING OF FUZZY LOGIC CONTROLLER USING GENETIC ALGORITHM

Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/17923

Title:	TUNING OF FUZZY LOGIC CONTROLLER USING GENETIC ALGORITHM
Other Titles:	ضبط متحكم المنطق الغامض باستخدام الخوارزمية الجينية
Authors:	Ahmed, Mohammed Almurtada Elzein Supervisor,- Awadalla Taifour Ali Ismail
Keywords:	Electrical Engineering Microprocessors and Control ALGORITHM
Issue Date:	10-Apr-2017
Publisher:	Sudan University of Science and Technology
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.
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.
Description:	Thesis
URI:	http://repository.sustech.edu/handle/123456789/17923
Appears in Collections:	Masters Dissertations : Engineering

Files in This Item:

File	Description	Size	Format
TUNING OF FUZZY LOGIC CONTROLLER....pdf	Research	2.39 MB	Adobe PDF	View/Open

DSpace JSPUI