A particle swarm optimization for optimum design of fractional order PID Controller in Active Magnetic Bearing systems

Ahmed Shata, Ragi Hamdy, Ayman Abdel-Khalik, Ibrahim El-Arabawy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Active Magnetic Bearings (AMBs) are now widely used for high rotational speed applications; where friction and maintenance cost are to be minimized; such as turbo-machinery and high speed compressors. Conventional PID controllers are commonly employed in these systems. The high speed variations cause gyroscopic effects which degrade the system performance. Moreover, under high speeds, AMB systems may experience instability. In this paper, the design of an active magnetic bearing system based on fractional order PID (FOPID) controllers is introduced. The controller gains are optimized using particle swarm optimization (PSO) approach. A typical AMB system with four degrees of freedoms (DOFs) is used to assess the proposed controller against conventional PID controllers. Different system constraints including the current limits of the power amplifiers are considered in the optimization problem.

Original languageEnglish
Title of host publication2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages400-406
Number of pages7
ISBN (Electronic)9781467390637
DOIs
Publication statusPublished - 30 Jan 2017
Externally publishedYes
Event18th International Middle-East Power Systems Conference, MEPCON 2016 - Cairo, Egypt
Duration: 27 Dec 201629 Dec 2016

Other

Other18th International Middle-East Power Systems Conference, MEPCON 2016
CountryEgypt
CityCairo
Period27/12/1629/12/16

Keywords

  • Active Magnetic Bearings
  • Fractional PID
  • Gyroscopic effects
  • Particle Swarm Optimization
  • PID

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Control and Optimization

Fingerprint Dive into the research topics of 'A particle swarm optimization for optimum design of fractional order PID Controller in Active Magnetic Bearing systems'. Together they form a unique fingerprint.

  • Cite this

    Shata, A., Hamdy, R., Abdel-Khalik, A., & El-Arabawy, I. (2017). A particle swarm optimization for optimum design of fractional order PID Controller in Active Magnetic Bearing systems. In 2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings (pp. 400-406). [7836922] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MEPCON.2016.7836922