Politeknik Dergisi 2147-9429 Gazi Üniversitesi 10.2339/politeknik.1687239 Satisfiability and Optimisation Electrical Machines and Drives Control Engineering Memnuniyet ve Optimizasyon Elektrik Makineleri ve Sürücüler Kontrol Mühendisliği DC Motor Hız Kontrolü için Yapay Sinek Kuşu Algoritması Tabanlı PID Denetleyici Artificial Hummingbird Algorithm- Based PID Controller for DC Motor Speed Control https://orcid.org/0009-0006-5024-7820 Sunca Kadir Yasin SAKARYA UYGULAMALI BİLİMLER ÜNİVERSİTESİ https://orcid.org/0000-0001-6575-7678 Boz Ali Fuat SAKARYA UYGULAMALI BİLİMLER ÜNİVERSİTESİ TEKNOLOJİ FAKÜLTESİ 03 15 2026 29 2 1 13 04 30 2025 06 03 2025 Copyright © 1998, Politeknik Dergisi 1998 Politeknik Dergisi

Sinek kuşlarının beslenme davranışlarını taklit eden ve doğadan ilham alan meta-sezgisel bir algoritma olan Yapay Sinek Kuşu Algoritması (AHA), 2021 yılında Liying Wang tarafından yayınlanmıştır. Bu yaklaşım, göç ve yiyecek arama süreçlerini yönlendirilmiş bir şekilde yürütmek için eksenel, çapraz ve çok yönlü uçuş yeteneklerini kullanmaktadır. AHA, bu çalışmada oransal-integral-türev (PID) kontrolörlerine dayalı doğru akım (DC) motor hız kontrol problemini analiz etmek için kullanılmıştır. Zaman ağırlıklı mutlak hatanın (ITAE) integrali, kontrolör tasarımında ideal PID parametreleri (kp, ki ve kd) belirlendikten sonra parametre optimizasyonu için hata tabanlı bir amaç fonksiyonu olarak kullanılmıştır. AHA, çeşitliliği artırmak amacıyla çeşitli DC motor çalışma noktalarında literatürdeki diğer algoritmalarla karşılaştırılmıştır. Sonuçlar, önerilen AHA'nın DC motor hız kontrol problemi için başarılı ve etkili bir performans sergilediğini göstermiştir.

The Artificial Hummingbird Algorithm (AHA), a meta-heuristic algorithm that mimics hummingbird feeding behaviours and was inspired by nature, was published in 2021 by Liying Wang. This approach uses axial, diagonal, and omnidirectional flight capabilities to carry out migration and foraging processes in a directed manner. The AHA was used in this study to analysed the direct current (DC) motor speed control problem based on proportional-integral-derivative (PID) controllers. The integral of the time-weighted absolute error (ITAE) was employed as an error-based objective function for parameter optimization once the ideal PID parameters (kp, ki, and kd) were identified in the controller design. The AHA was contrasted with other algorithms from the literature at various DC motor operating points in order to increase diversity. The results showed that the AHA that was suggested performed successfully and effectively for the DC motor speed control problem.

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