Robust switching-type fuzzy control for active magnetic bearing system

Hwa Chang Sung, Jin Bae Park, Young Hoon Joo

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

Abstract

This paper proposes the robust switching-type fuzzy control for an active magnetic bearing (AMB) system. In order to design a feasible robust controller, the nonlinear systems are converted to the Takagi-Sugeno (T-S) fuzzy systems, which are used as a basic framework to synthesize the fuzzy controller. The tracking problem and the constraints on the magnitude of the control input, both of which are often required in design of controllers for nonlinear plants, are considered in the design of the robust switching-type fuzzy controller. All conditions for the synthesis of the controller are consistently formulated in linear matrix inequalities (LMIs). Simulation results of AMB system show that the performance of the designed fuzzy controller is quite splendid in both tracking and stabilizing the concerned system.

Original languageEnglish
Title of host publicationProceedings of the 13th IASTED International Conference on Intelligent Systems and Control, ISC 2011
Pages169-175
Number of pages7
DOIs
Publication statusPublished - 2011 Nov 9
Event13th IASTED International Conference on Intelligent Systems and Control, ISC 2011 - Cambridge, United Kingdom
Duration: 2011 Jul 112011 Jul 13

Publication series

NameProceedings of the IASTED International Conference on Intelligent Systems and Control
ISSN (Print)1025-8973

Other

Other13th IASTED International Conference on Intelligent Systems and Control, ISC 2011
CountryUnited Kingdom
CityCambridge
Period11/7/1111/7/13

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Modelling and Simulation
  • Artificial Intelligence

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  • Cite this

    Sung, H. C., Park, J. B., & Joo, Y. H. (2011). Robust switching-type fuzzy control for active magnetic bearing system. In Proceedings of the 13th IASTED International Conference on Intelligent Systems and Control, ISC 2011 (pp. 169-175). (Proceedings of the IASTED International Conference on Intelligent Systems and Control). https://doi.org/10.2316/P.2011.744-087