FUZZY LOJİK KONTROLCÜ PARAMETRELERİNİN AYRIŞIMI ESAS ALAN ÇOK AMAÇLI EVRİMSEL ALGORİTMA YARDIMIYLA BELİRLENMESİ

Ali Fazıl Uygur

doi:10.17780/ksujes.1507721

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FUZZY LOJİK KONTROLCÜ PARAMETRELERİNİN AYRIŞIMI ESAS ALAN ÇOK AMAÇLI EVRİMSEL ALGORİTMA YARDIMIYLA BELİRLENMESİ

Öz

Belirli gereksinimlerin karşılanabilmesi için bir kontrolcünün parametrelerinin doğru konfigürasyonu ve spesifikasyonuna ihtiyaç vardır. Ayrıca optimum performans hedeflenerek bu parametrelerin, uygun değerlere ayarlanmaları kontrolcülerin başarımı üzerinde etkili olacaktır. Bu çalışma kapsamında, DC-DC Buck dönüştürücüyü kontrol etmekte olan “Fuzzy-Lojik” (FL) kontrolcüye ait üyelik fonksiyonu parametrelerinin optimizasyonu yoluyla, dönüştürücünün çıkış geriliminin optimum basamak cevabı hedeflenmektedir. Parametrelerin optimizasyonu meselesi, genellikle karşımıza, “Çok Amaçlı Optimizasyon Problemi” (MOP) olarak çıkmaktadır. Problemin çok amaçlılığı, kontrol sistemlerinin başarımlarının birden çok kriter bağlamında değerlendiriliyor olmasından kaynaklanır. Buck dönüştürücünün çıkışına dair basamak cevabı için de aynı durum söz konusudur. Basamak cevabını karakterize eden ve birbirleriyle çelişen aşım ve yükselme zamanı kriterlerinin optimizasyonu, tek bir optimum çözüm yerine bunlar arasında bir uzlaşı belirleyen birden çok çözümü doğurur. Ele alınan problem için çoklu çözümden kasıt, FL kontrolcüye ait farklı üyelik fonksiyonu parametre setleridir. Çözüm için, “Ayrışıma Dayalı Çok Amaçlı Evrimsel Algoritma” (MOEA/D) olarak bilinen ve MOP’u, skalerleştirme fonksiyonları üzerinden belli sayıda tek amaçlı alt problemlere ayrıştırmak suretiyle ele alan bir yöntem tercih edilmiştir.

Anahtar Kelimeler

DETERMINATION OF FUZZY LOGIC CONTROLLER PARAMETERS THROUGH MULTI OBJECTIVE EVOLUTIONARY ALGORITHM BASED ON DECOMPOSITION

Abstract

Proper configuration and specification of controller's parameters are needed to meet certain requirements. Additionally, targeting optimum performance and setting these parameters to appropriate values will have an impact on the performance of the controllers. In this study, the optimum step response of the converter is aimed by optimizing the membership function parameters of the “Fuzzy-Logic” (FL) controller, which controls the DC-DC Buck converter. The issue of optimization of parameters generally presents itself as a “Multi Objective Optimization Problem” (MOP). The multi-purpose nature of the problem stems from the fact that the performance of control systems is evaluated in the context of multiple criteria. The same is true for the step response of the buck converter. Optimization of the conflicting overshoot and rise time criteria that characterize the step response gives rise to multiple solutions that determine a compromise between them rather than a single optimal solution. What is meant by multiple solutions for the problem under consideration is different membership function parameter sets of the controller. For the solution, a method known as “Decomposition-Based Multi-Objective Evolutionary Algorithm” (MOEA/D) was preferred, which deals with the MOP by decomposing it into a certain number of single-objective sub-problems via scalarization functions.

Keywords

References

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Details

Primary Language

Turkish

Subjects

Electrical Engineering (Other)

Journal Section

Research Article

Authors

Ali Fazıl Uygur ^*
0000-0002-1049-4927
Türkiye

Publication Date

December 3, 2025

Submission Date

June 30, 2024

Acceptance Date

June 23, 2025

Published in Issue

Year 2025 Volume: 28 Number: 4

DOI

https://doi.org/10.17780/ksujes.1507721

IZ

https://izlik.org/JA42JG76LL

Cite

RIS / Bibtex

APA

Uygur, A. F. (2025). FUZZY LOJİK KONTROLCÜ PARAMETRELERİNİN AYRIŞIMI ESAS ALAN ÇOK AMAÇLI EVRİMSEL ALGORİTMA YARDIMIYLA BELİRLENMESİ. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 28(4), 1650-1661. https://doi.org/10.17780/ksujes.1507721