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Research Papers: Gas Turbines: Structures and Dynamics

Oil Whip Elimination Using Fuzzy Logic Controller

[+] Author and Article Information
A. S. Dimitri

Department of Mechanical Design
and Production,
Faculty of Engineering,
Cairo University,
Giza 12316, Egypt
e-mail: adimitri@eng.cu.edu.eg

J. Mahfoud

Department of Mechanical Engineering,
Université de Lyon,
INSA-Lyon, LaMCoS UMR5259,
Villeurbanne 69621, France
e-mail: jarir.mahfoud@insa-lyon.fr

A. El-Shafei

Department of Mechanical Design
and Production,
Faculty of Engineering,
Cairo University,
Giza 12316, Egypt
e-mail: elshafei@ritec-eg.com

Contributed by the Structures and Dynamics Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received July 31, 2015; final manuscript received September 21, 2015; published online November 17, 2015. Editor: David Wisler.

J. Eng. Gas Turbines Power 138(6), 062502 (Nov 17, 2015) (8 pages) Paper No: GTP-15-1385; doi: 10.1115/1.4031759 History: Received July 31, 2015; Revised September 21, 2015

Oil whip is a self-excited subsynchronous vibration which limits the range of operating speed of journal bearings (JBs). JBs have wide range of applications due to their high loading capacity, simple geometry, and lubrication. When the speed of rotation increases, the oil whip instability is excited with a frequency corresponding to the rotor critical speed which causes excessive undesirable vibration. A solution for this instability is implemented through this paper. The control action is implemented through a new integrated bearing device. The bearing consists of JB and electromagnetic actuator (EMA). The oil whip control action is applied through the EMA. A fuzzy logic control algorithm is developed and experimentally applied to a rotor test rig. The controller is suitable to deal with the problems of uncertainties and nonlinearity. The experimental results show the ability of the developed controller to eliminate the oil whip instability when applied to a test rig which simulates industrial rotor through an integrated bearing prototype which was designed and manufactured.

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References

Figures

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Fig. 4

Rotor-bearing block diagram

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Fig. 3

Tested rotor model and measuring plane

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Fig. 2

Test rig configuration

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Fig. 1

Integrated bearing prototype

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Fig. 9

Instability control at B1

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Fig. 7

Fuzzy logic controller surface

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Fig. 13

FL controller measurements at P2

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Fig. 14

FL controlled spectrum at P2

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Fig. 15

Experimental controlled waterfall at P2

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Fig. 16

Zoom on current control action

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Fig. 8

Rotor simulation at B1

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Fig. 10

Effect of JB clearance variation

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Fig. 11

Control loop and measurement instrumentation

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Fig. 12

Experimental uncontrolled waterfall at P2

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Fig. 17

JB coordinate system

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