Parallel distributed compensation for voltage controlled active magnetic bearing system using integral fuzzy model

Guy Martial Tatchum Kamkumo, Alexander Gegov, Raheleh Jafari, Sina Razvarz

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

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Abstract

Parallel Disturbed Compensation (PDC) for current-controlled Active Magnetic Bearing System (AMBS) has been quite effective in recent years. However, this method does not take into account the dynamics associated with the electromagnet. This limits the method to smaller scale applications where the electromagnet dynamics can be neglected. Voltage-controlled AMBS is used to overcome this limitation but this comes with serious challenges such as complex mathematical modelling and higher order system control. In this work, a PDC with integral part is proposed for position and input tracking control of voltage-controlled AMBS. PDC method is based on nonlinear Takagi-Sugeno (T-S) fuzzy model. It is shown that the proposed method outperforms the conventional fuzzy PDC. It stabilizes the bearing shaft at any chosen operating point and tracks any chosen smooth trajectory within the air gap with a high external disturbance rejection capability.
Original languageEnglish
Title of host publication9th International Conference on Intelligent Systems 2018
PublisherIEEE
Pages190-198
ISBN (Electronic)978-1-5386-7097-2
ISBN (Print)978-1-5386-7098-9
DOIs
Publication statusPublished - 9 May 2019
Event9th International Conference on Intelligent Systems, IS 2018 - Funchal - Madeira, Portugal
Duration: 25 Sep 201827 Sep 2018

Publication series

NameIEEE IS Proceedings Series
PublisherIEEE
ISSN (Print)1541-1672

Conference

Conference9th International Conference on Intelligent Systems, IS 2018
Country/TerritoryPortugal
CityFunchal - Madeira
Period25/09/1827/09/18

Keywords

  • Takagi-Sugeno
  • Active Magnetic Bearings
  • Parallel Distributed Compensation
  • AMB voltage-controlled

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