Nature‐ınspired algorithms for optimizing fractional order PID controllers in time‐delayed systems     
Yazarlar (2)
Doç. Dr. Aykut Fatih GÜVEN Yalova Üniversitesi, Türkiye
Onur Özdal Mengi
Giresun Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale
Dergi Adı Optimal Control Applications and Methods
Dergi ISSN 0143-2087 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q3
Makale Dili İngilizce
Basım Tarihi 01-2024
Cilt No 45
Sayı 3
Sayfalar 1251 / 1279
DOI Numarası 10.1002/oca.3101
Makale Linki https://doi.org/10.1002/oca.3101
Özet
Time-delayed systems frequently appear, especially in sectors such as fluid flow processes, chemical procedures, and the food industry. This paper addresses the optimization of parameters for a fractional order PID (FOPID) controller, which is used to control a time-delayed system, using five distinct algorithms inspired by nature. These algorithms are NewBAT, Cuckoo search (CS), Firefly (FF), Gray Wolf Optimizer (GWO), and Whale optimization algorithm (WOA). The FOPID controller parameters, namely KP, KI, KD, λ and μ, have been optimized using these algorithms. During the optimization process, the integral of the time absolute error (ITAE) was considered as the primary measurement criterion. In addition to this value, the maximum overshoot, settling time, time to reach the maximum value, and error values were examined. Simulations conducted with the obtained parameters tested the system's resilience to disturbances introduced at the output, and the controller responses were also evaluated during these tests. The reactions of the determined parameters to different reference inputs were analyzed, and the results are presented in graphs and tables. The efficiency and reliability of the optimization algorithms were substantiated by comprehensive statistical analyses. These analyses play a critical role in algorithm selection and objective evaluation of the results. Simulation studies were conducted in the Matlab and Simulink environments. The FOMCON Toolbox was used for fractional-order processes.
Anahtar Kelimeler
fractional order PID | optimization | statistical analysis | time delay
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
WoS 18
SCOPUS 19
Nature‐ınspired algorithms for optimizing fractional order PID controllers in time‐delayed systems

Paylaş

İletişim
  • Yalova Üniversitesi Rektörlüğü, Bahçelievler Mah. Çınarcık Yolu Caddesi No: 26 Merkez - YALOVA, 77200
  • unis@yalova.edu.tr 0226 815 50 00
Sosyal Media
Talentsoft Yazılım Talent Yazılım
Tasarım ve Programlama #2025