• DocumentCode
    3483204
  • Title

    Mathematical modeling and fault detection and diagnosis of an electrohydrostatic actuator

  • Author

    Gadsden, S. Andrew ; Song, Yuning ; Habibi, Saeid R.

  • Author_Institution
    Dept. of Mech. Eng., McMaster Univ., Hamilton, ON, Canada
  • fYear
    2012
  • fDate
    27-29 June 2012
  • Firstpage
    5152
  • Lastpage
    5159
  • Abstract
    This paper studies the mathematical modeling of an electrohydrostatic actuator (EHA) for the purpose of fault detection and diagnosis. A relatively new model-based fault detection strategy referred to as the interacting multiple model and smooth variable structure filtering method (IMM-SVSF) is applied on an experimental apparatus. The results of this application are compared with the popular Kalman filter based strategy (IMM-KF), and recommendations are made for future research.
  • Keywords
    actuators; electrohydraulic control equipment; fault diagnosis; filtering theory; electrohydrostatic actuator; experimental apparatus; fault diagnosis; interacting multiple model; mathematical modeling; model-based fault detection strategy; smooth variable structure filtering method; Actuators; Estimation; Friction; Mathematical model; Noise; Noise measurement; Probability;
  • 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.2012.6315450
  • Filename
    6315450