• DocumentCode
    2412877
  • Title

    An optimal observer design for 2-inertia system via ILQ design method

  • Author

    Tokunaga, A. ; Takami, H. ; Nakamura, M. ; Okamoto, T.

  • Author_Institution
    Shibaura Inst. of Technol., Tokyo, Japan
  • fYear
    2012
  • fDate
    7-11 Oct. 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents a novel optimal observer for speed control in 2-inertia dynamic system such as a large scale rolling mill, coupled with flexible shaft which has resonant torsional oscillation. For suppressing oscillation and reducing disturbance load torque, we introduce a full-order observer with concept of Kalman filter on a basis of inverse linear quadratic (ILQ) design method, including disturbance observer. In this paper, the ILQ design method improved by polynomial pole assignment gives an analytical optimal gain, and makes the errors of outputs converge to zero in steady-state. The proposed observer enables to suppress vibration and to control at high precise speed control in the 2-inertia system in spite of the quick speed response.
  • Keywords
    Kalman filters; angular velocity control; electric motors; linear quadratic control; machine control; observers; pole assignment; polynomials; power filters; 2-inertia dynamic system; ILQ design method; Kalman filter; disturbance load torque reduction; flexible shaft; full-order observer; inverse linear quadratic design; large scale rolling mill; motor; optimal observer design; oscillation suppression; polynomial pole assignment; resonant torsional oscillation; speed control; vibration suppression; Design methodology; Load modeling; Mathematical model; Observers; Torque control; Transfer functions; Velocity control; 2-inertia system; Disturbance observer; Full-order observer; ILQ design method; Optimal observer; State feedback control; Torsional system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Society Annual Meeting (IAS), 2012 IEEE
  • Conference_Location
    Las Vegas, NV
  • ISSN
    0197-2618
  • Print_ISBN
    978-1-4673-0330-9
  • Electronic_ISBN
    0197-2618
  • Type

    conf

  • DOI
    10.1109/IAS.2012.6374005
  • Filename
    6374005