• DocumentCode
    498852
  • Title

    Model set identification for H robust control of Hydraulic Flight Motion Simulator

  • Author

    Wang, Ben-yong ; Dong, Yan-liang ; Zhao, Ke-ding

  • Author_Institution
    Sch. of Mech. Eng., Heilongjiang Inst. of Sci. & Technol., Harbin, China
  • Volume
    4
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    2118
  • Lastpage
    2122
  • Abstract
    A model set identification approach is presented for Hinfin robust control design of Hydraulic Flight Motion Simulator servo system, which suffers from various uncertainties, such as parameter uncertainty, high frequency unmodelled dynamic uncertainty, and so on. The identification approach consists of two steps. To be exact, the first step is nominal model parameter identification, and then model uncertainty estimation. The nominal model parameter identification is based on the grey-box method. The model uncertainty estimation is implemented with model error modeling. Both nominal model and uncertainty bound are indispensable to Hinfin robust control design. Compared to the usual modeling method with math derivation and simulation, the proposed identification approach provides more accurate nominal model and uncertainty bound, and is more suitable for Hinfin robust control design of Hydraulic Flight Motion Simulator servo system. The identification procedure is illustrated with the Hydraulic Flight Motion Simulator inner gimbal servo system.
  • Keywords
    Hinfin control; aerospace simulation; control system synthesis; parameter estimation; robust control; servomechanisms; Hinfin robust control design; grey-box method; hydraulic flight motion simulator; model set identification; nominal model parameter identification; servo system; uncertainty estimation; Aerospace simulation; Control system synthesis; Cybernetics; Machine learning; Parameter estimation; Robust control; Sampling methods; Servomechanisms; Uncertainty; Valves; Grey-box method; Hydraulic Flight Motion Simulator; Model error modeling; Model set identification; Model uncertainty; Nominal model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212206
  • Filename
    5212206