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dc.contributor.advisorUçan, Osman Nuri
dc.contributor.authorObed, Ahmed Ayan
dc.date.accessioned2021-05-06T12:25:39Z
dc.date.available2021-05-06T12:25:39Z
dc.date.submitted2019
dc.date.issued2020-02-25
dc.identifier.urihttps://acikbilim.yok.gov.tr/handle/20.500.12812/588454
dc.description.abstractFOPID ve PID kontrolerleri endüstriyel endüstrinin bir çok dalında kuilanılmaktadır Rofinerlerde, farklı fabrikalarda hassasiyeti arttırması, daha az emek harcanması nedeniyle kontrolörler sıkca uygulama alanı bulmaktadır PID ve FOPID işlemleri standart hale getirir. Genetik algoritma kullanılması halinde başarım artmaktadır. Uygulamaya dönük matlab yazılımı ile başarımlar karşılaştırılabilir hale gelmekredir.
dc.description.abstractIn the field of automatic control, FOPID and PID controllers are used in all areas of industrial work. From small operations to large operations, their work in different processes is very important for precision work and reduced effort, such as refineries and other factories. Using PID or FOPID at work is similar to routine work. So, we think about how we can improve these controllers and choose the best among them. We benefit greatly from the world of computing by choosing a way to develop PID and FOPID, and to develop their performance in a good way. In this research, PID and FOPID will be adjusted using the genetic algorithm, in order to know the best results for each, and compare them, using each of them to control the speed of the steam turbine, the process is performed by computer simulation by implementing a program in Matlab, then we compare the best results between PID and FOPID are analyzed and the results will be drawn from simulation and comparison for adoption in practical application, such as computer control systems.en_US
dc.languageEnglish
dc.language.isoen
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution 4.0 United Statestr_TR
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectBilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontroltr_TR
dc.subjectComputer Engineering and Computer Science and Controlen_US
dc.titleAutomatic turbine speed control using integer and fractional order PID controller based on genetic algorithm
dc.title.alternativeBuhar türbini hızının genetik algoritmaya tabanlı PID mikrodenetleyici kontrolu
dc.typemasterThesis
dc.date.updated2020-02-25
dc.contributor.departmentElektrik ve Bilgisayar Mühendisliği Ana Bilim Dalı
dc.identifier.yokid10304380
dc.publisher.instituteFen Bilimleri Enstitüsü
dc.publisher.universityALTINBAŞ ÜNİVERSİTESİ
dc.identifier.thesisid611816
dc.description.pages90
dc.publisher.disciplineDiğer


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