• DocumentCode
    2342024
  • Title

    Hardware-in-the-loop simulation of parameters self-tuning for servo system

  • Author

    Chen, Pengzhan ; Tang, Xiaoqi ; Ren, Qingrong

  • Author_Institution
    Nat. NC Syst. Eng. Res. Centre, Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    3158
  • Lastpage
    3162
  • Abstract
    The hardware-in-the-loop simulation, which can perform simulation study by placing the needed actual control object in the loop of the simulation system and verify the actual control effect of the control strategy rapidly, is a real-time simulation technology for actual process. In this paper, based on the dSPACE(digital Signal Processing and Control Engineering) hardware-in-the-loop simulation technology, the on-line parameters self-tuning algorithm of the servo control system based on genetic algorithm has been put forward and real-time simulation of the proposed algorithm has been performed by using MATLAB/Simulink modelling system and dSPACE system´s hardware and software environment. The simulation results show that the proposed servo control parameters setting based on genetic algorithm are highly robust and hardware-in-the-loop simulation is a quick way to verify and improve the control algorithms.
  • Keywords
    adaptive control; genetic algorithms; self-adjusting systems; servomechanisms; control strategy; dSPACE system; digital signal processing and control engineering; genetic algorithm; hardware-in-the-loop simulation; servo system self-tuning; Control engineering; Genetic algorithms; Hardware; MATLAB; Mathematical model; Real time systems; Servomechanisms; Servosystems; Signal processing algorithms; Software algorithms; AC servo system; genetic algorithm; parameter auto-tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138783
  • Filename
    5138783