Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Modularized Gain Scheduled Fuzzy Logic Control with Application to Nonlinear Magnetic Bearings

  • Hong, Sung-Kyung (Flight Dynamics and Control Team Agency for Defense Development)
  • Published : 1999.08.01
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Abstract

This paper describes an approach for synthesizing a modularized gain scheduled PD type fuzzy logic controller(FLC) of nonlinear magnetic bearing system where the gains of FLC are on-line adapted according to the operating point. Specifically the systematic procedure via root locus technique is carried out for the selection of the gains of FLC. Simulation results demonstrate that the proposed gain scheduled fuzzy logic controller yields not only maximization of stability boundary but also better control performance than a single operating point (without gain scheduling)fuzzy controller.

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References

  1. IEEE Trans. on Magnetics v.31 no.2 Nonlinear Control of a Rigid Rotor Magnetic Bearing System : Modeling and Simulation with Full State Feedback R.D. Smith;W.F. Weldon
  2. Proc. 17th Annu. Conf. IEEE Ind. Electron. Soc. Nonlinear Control of Electromagnetic Systems J.Y. Hung
  3. Advances in Systems Science and Applications v.3 no.1 Gain Scheduled Fuzzy Control with Application to Aircraft Flight Control S.K. Hong;R. Langari
  4. IEEE Trans. on Industry Applications v.31 no.6 Magnetic Bearing Control Using Fuzzy Logic J.Y. Hung
  5. ASME Journal of Tribology v.111 Practical Limits to the Performance of Magnetic Bearings: Perk Force, Slew Rate and Displacement Sensitivity E.H. Maslen;P. Hermann;M. Scott;R.R. Humphris
  6. Fuzzy Modeling and Control of a Nonlinear Magnetic Bearing System S.K. Hong;R. Langari
  7. Robust Fuzzy Control of a Magnetic Bearing System Subject to Harmonic Disturbances S.K. Hong;R. Langari