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An Experiment for Nonlinear an Active Magnetic Bearing System Using Fuzzy Logic Controller

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Advances in Engineering Research and Application (ICERA 2018)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 63))

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Abstract

This study presents an intelligent control method for positioning a nonlinear active magnetic bearing (AMB) system by using emergent fuzzy logic controller (FLC). In this work, an AMB system supporting a rotating shaft, without physical contact is presented. By using rotor dynamic model of AMB system and electromagnetic forces of magnetic bearing to design a FLC for an AMB system. The control algorithm was numerically evaluated to construct a multiple-input multiple-output mathematical model of the controlled system. The membership functions and rule design of FLC were based on the mathematical model of an AMB system. A current amplifier and hardware-in-loop (HIL) are used for electromagnetic coil to generate magnetic forces suspended the rotor in magnetic bearing. The results indicated that the system exhibited satisfactory control performance with a low overshooting and produced improved transient and steady-state responses under various operating conditions.

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Correspondence to Lai Khac Lai .

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Nguyen, VS., Lai, L.K., Lai, T.H. (2019). An Experiment for Nonlinear an Active Magnetic Bearing System Using Fuzzy Logic Controller. In: Fujita, H., Nguyen, D., Vu, N., Banh, T., Puta, H. (eds) Advances in Engineering Research and Application. ICERA 2018. Lecture Notes in Networks and Systems, vol 63. Springer, Cham. https://doi.org/10.1007/978-3-030-04792-4_21

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  • DOI: https://doi.org/10.1007/978-3-030-04792-4_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04791-7

  • Online ISBN: 978-3-030-04792-4

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