OIL WHIP ELIMINATION USING FUZZY LOGIC CONTROLLER

被引:0
|
作者
Dimitri, A. S. [1 ]
Mahfoud, J. [2 ]
Ei-Shafei, A. [1 ]
机构
[1] Cairo Univ, Dept Mech Design & Prod, Fac Engn, Giza, Egypt
[2] Univ Lyon, INSA Lyon, LaMCoS UMR5259, Villeurbanne, France
关键词
BEARING SYSTEMS; ROTOR; STABILITY; VIBRATION;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Oil whip is a self-excited sub-synchronous vibration which limits the range of operating speed of Journal Bearings (JB). JIB 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 fuzzy logic controller is suitable to deal with problems of uncertainties and non-linearity. The experimental results show the ability of the developed fuzzy logic 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.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] Control of a rotary crane using fuzzy logic controller
    Blazicevic, N
    Novakovic, BM
    Majetic, D
    [J]. ISMCR '98: PROCEEDINGS OF THE EIGHTH INTERNATIONAL SYMPOSIUM ON MEASUREMENT AND CONTROL IN ROBOTICS, 1998, : 147 - 152
  • [22] Vehicle trajectory control using the fuzzy logic controller
    Cho, H
    Yi, SJ
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2004, 218 (D1) : 21 - 32
  • [23] Implementation of a fuzzy logic controller on an FPGA using VHDL
    Singh, S
    Rattan, KS
    [J]. NAFIPS'2003: 22ND INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS PROCEEDINGS, 2003, : 110 - 115
  • [24] Mobile Robot Navigation using Fuzzy Logic Controller
    Raguraman, S. M.
    Tamilselvi, D.
    Shivakumar, N.
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, COMMUNICATION AND ENERGY CONSERVATION INCACEC 2009 VOL 1, 2009, : 236 - +
  • [25] Nonlinear PID controller design using fuzzy logic
    Ibrahim, AAS
    [J]. 11TH IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, PROCEEDINGS, 2002, : 595 - 599
  • [26] Thermal plants optimization using fuzzy logic controller
    Manjang, Salama
    Akil, Yusri S.
    [J]. 2006 1ST IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-3, 2006, : 1551 - +
  • [27] SPEED CONTROL SYSTEM USING A FUZZY LOGIC CONTROLLER
    Dosoftei, Constantin Catalin
    Mastacan, Lucian
    Olah, Iosif
    [J]. ANNALS OF DAAAM FOR 2008 & PROCEEDINGS OF THE 19TH INTERNATIONAL DAAAM SYMPOSIUM: INTELLIGENT MANUFACTURING & AUTOMATION: FOCUS ON NEXT GENERATION OF INTELLIGENT SYSTEMS AND SOLUTIONS, 2008, : 427 - 428
  • [28] Autonomous robot navigation using fuzzy logic controller
    Wang, M
    Liu, JNK
    [J]. PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2004, : 691 - 696
  • [29] Risk assessment of bridges using Fuzzy Logic Controller
    Andric, Jelena
    Lu, Dagang
    [J]. EURODYN 2014: IX INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS, 2014, : 3073 - 3078
  • [30] Microwave Oven Controller Using a Fuzzy Logic System
    Shaik, Abdul Aziz Raza
    Polaki, Hemanth Kumar
    Bhavani, Shashank Bhumana
    Mann, Mukesh
    [J]. PROCEEDINGS OF THE CONFLUENCE 2020: 10TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE & ENGINEERING, 2020, : 1 - 5