A comparison on genetic algorithm based integer order and fractional order PID control of magnetic bearing system

Gokhan Altintas, Yucel Aydin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

This paper presents a study on comparison between integer order PID (IOPID) and fractional order PID (FOPID) control of a magnetic bearing system. First, a magnetic levitation system model is derived. Genetic algorithm is used for the controller design to compensate derived model. Different fitness functions are used to determine controller parameters. System responses are compared for two controllers. Also, controller performances are tested both when the operation point is varied and controller parameters are changed. Moreover, a comparison between IOPID and FOPID is done.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages20-24
Number of pages5
ISBN (Electronic)9781509045389
DOIs
Publication statusPublished - 6 May 2017
Event2017 IEEE International Conference on Mechatronics, ICM 2017 - Gippsland, Australia
Duration: 13 Feb 201715 Feb 2017

Publication series

NameProceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017

Conference

Conference2017 IEEE International Conference on Mechatronics, ICM 2017
Country/TerritoryAustralia
CityGippsland
Period13/02/1715/02/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • fractional control
  • genetic algorithm
  • magnetic levitation
  • pid

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