• DocumentCode
    574301
  • Title

    Robust Nonlinear Generalised Minimum Variance control

  • Author

    Sung-ho Hur ; Grimble, M.J.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow, UK
  • fYear
    2012
  • fDate
    27-29 June 2012
  • Firstpage
    6721
  • Lastpage
    6726
  • Abstract
    This paper extends the Nonlinear Generalised Minimum Variance (NGMV) controller in order to improve the robustness of its control or set-point tracking performance. This is achieved by replacing the Kalman filter included in the original NGMV controller with an observer whose gain is obtained to minimise the effect of uncertainty, which includes unknown disturbance, modelling error, and faults. The performance of the extended controller is assessed and compared with the original controller by application to a nonlinear tank model and a cam phaser dynamics model, and simulation results are presented in this paper demonstrating improvements that can be achieved by the extended controller over the original controller.
  • Keywords
    Kalman filters; nonlinear control systems; observers; robust control; Kalman filter; NGMV controller; cam phaser dynamics model; faults; modelling error; nonlinear tank model; observer; robust nonlinear generalised minimum variance control; set-point tracking performance; unknown disturbance; Equations; Kalman filters; Mathematical model; Nonlinear dynamical systems; Observers; Stability criteria; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2012
  • Conference_Location
    Montreal, QC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-1095-7
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2012.6314886
  • Filename
    6314886