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, Turkey, 11 - 13 October 2023 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/asyu58738.2023.10296759
  • City: Sivas
  • Country: Turkey
  • Keywords: fractional order PID(FOPID), Genetic Algorithm, magnetic ball suspension system, PID
  • Karadeniz Technical University Affiliated: Yes

Abstract

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.