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TUNING OF FUZZY LOGIC CONTROLLER USING GENETIC ALGORITHM

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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


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