Research Papers

Experimental Assessment of a New Fuzzy Controller Applied to a Flexible Rotor Supported by Active Magnetic Bearings

[+] Author and Article Information
Benjamin Defoy

LaMCoS UMR5259,
Université de Lyon,
18, rue des Sciences,
Villeurbanne 69100, France
e-mail: benjamin.defoy@insa-lyon.fr

Thomas Alban

New Product Introduction Department,
GE Oil & Gas,
480 allée G. Eiffel,
Le Creusot 71203, France
e-mail: thomas.alban@ge.com

Jarir Mahfoud

LaMCoS UMR5259,
Université de Lyon,
18, rue des Sciences,
Villeurbanne 69100, France;
Laboratoire de Mécanique des Contacts
et des Structures—LaMCoS,
UMR CNRS 5259,
Institut National des Sciences
Appliquées de Lyon,
Université de Lyon,
Bâtiment Jean d'Alembert,
18-20, rue des Sciences,
Villeurbanne Cedex 69621, France
e-mail: jarir.mahfoud@insa-lyon.fr

1Corresponding author.

Contributed by the Technical Committee on Vibration and Sound of ASME for publication in the JOURNAL OF VIBRATION AND ACOUSTICS. Manuscript received October 11, 2013; final manuscript received June 25, 2014; published online July 25, 2014. Assoc. Editor: Patrick S. Keogh.

J. Vib. Acoust 136(5), 051006 (Jul 25, 2014) (8 pages) Paper No: VIB-13-1358; doi: 10.1115/1.4027959 History: Received October 11, 2013; Revised June 25, 2014

The aim of this study was to develop and implement a new control approach dedicated to turbomachinery. The new, fuzzy based controller utilizes inputs expressed in polar coordinates. Its originality is that it manages two significant physical quantities, namely, tangential and radial velocities, associated with steady-state and transient behaviors, respectively. Three controllers are compared for the control of a flexible rotor supported by active magnetic bearings (AMBs): proportional-integral-derivative (PID), single-input and single-output (SISO) fuzzy and the new controller. The assessment was performed using an academic test rig and the results obtained with the new controller show that performances were enhanced with equivalent levels of stability and robustness.

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Fig. 2

Finite element model of the rotor

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Fig. 3

Scheme of the numerical model

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Fig. 4

Schemes of the controllers

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Fig. 5

Standardized stiffness and damping

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Fig. 6

SISO fuzzy surface

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Fig. 7

Displacements due to unbalance and low frequency perturbation

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Fig. 8

Principle of the polar fuzzy controller

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Fig. 9

Experimental unbalance responses

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Fig. 10

Rotor orbit at 10,000 rpm



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