Optimization of Fractional and Integer Order PID Parameters using Big Bang Big Crunch and Genetic Algorithms for a MAGLEV System

Altıntaş G., Aydın Y.

20th World Congress of the International-Federation-of-Automatic-Control (IFAC), Toulouse, France, 9 - 14 July 2017, vol.50, pp.4881-4886 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 50
  • Doi Number: 10.1016/j.ifacol.2017.08.978
  • City: Toulouse
  • Country: France
  • Page Numbers: pp.4881-4886
  • Istanbul Technical University Affiliated: Yes


This paper presents a study on optimized control for a magnetically levitated (MAGLEV) suspension system. Unstable magnetically levitated system is modelled and integer order PID (IOPID) and fractional order PID (FOPID) controller parameters are evaluated by using both Genetic Algorithm (GA) and Big Bang Big Crunch (BBBC) algorithm. Comparison between BBBC and GA based controllers are done. Responses for variable reference inputs are obtained. Results show that the performance of the BBBC based FOPID controller is better than GA optimized FOPID controller. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.