• DocumentCode
    2941218
  • Title

    A method for on-line identification and control based on hardware-in-the-loop concept

  • Author

    Tutunji, Tarek A. ; Saleem, Ashraf I.

  • Author_Institution
    Dept. of Mechatron. Eng., Philadelphia Univ., Amman
  • fYear
    2008
  • fDate
    20-22 July 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A method to identify and control a mechatronic system in real time environment is presented in this paper. Acquiring the systempsilas transfer function accurately can be difficult if some parameters are missing. This causes a great difficulty in the system modeling and control. Therefore in this research, a method based on Hardware-in-the-Loop (HIL) concept has been employed to identify and control dynamic systems. Online identification using Auto Regressive Moving Average (ARMA) models is used to identify the transfer function of the system; the controller is tuned on the identified model in a simulation environment and applied to the real system. The advantages of the proposed method are high accuracy in the identified system, simplicity, and low cost. Two case studies, namely, a DC motor and servo-pneumatic system, were used to verify the proposed method.
  • Keywords
    autoregressive moving average processes; computerised control; control system CAD; digital simulation; identification; mechatronics; transfer functions; ARMA; DC motor; HIL; autoregressive moving average model; controller design; dynamic system control; hardware-in-the-loop concept; mechatronic system control; on-line identification method; real time environment; servo-pneumatic system; software-in-the-loop; system transfer function; Control system synthesis; Control systems; DC motors; Diesel engines; Hardware; Mechatronics; Prototypes; Signal processing; System identification; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Devices, 2008. IEEE SSD 2008. 5th International Multi-Conference on
  • Conference_Location
    Amman
  • Print_ISBN
    978-1-4244-2205-0
  • Electronic_ISBN
    978-1-4244-2206-7
  • Type

    conf

  • DOI
    10.1109/SSD.2008.4632896
  • Filename
    4632896