Genetic Algorithm Based Fractional Order PID Design for Magnetic Ball Suspension System Manyetik Top Aski Sistemi i in Genetik Algoritma Tabanli Kesir Dereceli PID Tasarimi

Kose I. H., Akay B., ATASOY A.

2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023, Sivas, Türkiye, 11 - 13 Ekim 2023 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/asyu58738.2023.10296759
  • Basıldığı Şehir: Sivas
  • Basıldığı Ülke: Türkiye
  • Anahtar Kelimeler: fractional order PID(FOPID), Genetic Algorithm, magnetic ball suspension system, PID
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

In this study, the control of the magnetic ball suspension system is designed with a fractional order PID (FOPID) controller and the FOPID parameters are optimized using a Matlab-based genetic algorithm. The controller with GA based optimum parameters is adapted to the system model and performance analysis is performed. It is observed that GA-based fractional PID controllers provide more precise and stable responses for system control by further reducing oscillations compared to conventional PID controllers designed with different algorithms.