• DocumentCode
    3303762
  • Title

    Estimation delay compensation in high-gain observer-based parameter identification

  • Author

    Dai, Xuewu ; Gao, Zhiwei ; Breikin, Tim ; Wang, Hong

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Southwest Univ., Chongqing, China
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    8212
  • Lastpage
    8217
  • Abstract
    In this paper, the properties of the disturbance estimation in a high gain observer are analyzed, and a time delay calculation method is proposed to improve the performance of parameter identification. This paper shows that the estimation delay depends on the observer gain, but has nothing to do with the parameter variation. Then, a novel algorithm is proposed to calculate the delay according to the phase response of disturbance estimation transfer function. Hence, in terms of system identification, this delay is compensated by lagging the state estimate by the same amount of delay. This technique, on one side, improves the performance of parameter identification accuracy, and, on the other side, gives a new insight into the high-gain observer design.
  • Keywords
    delay systems; observers; parameter estimation; transfer functions; disturbance estimation transfer function; estimation delay compensation; high gain observer design; parameter identification; state estimation; system identification; time delay calculation method; Delay effects; Delay estimation; Delay systems; Observers; Parameter estimation; Performance analysis; Performance gain; Phase estimation; System identification; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5400082
  • Filename
    5400082