• DocumentCode
    714482
  • Title

    Modelling twin rotor system with artificial neural networks

  • Author

    Deniz, Meryem ; Bidikli, Baris ; Bayrak, Alper ; Ozdemirel, Barbaros ; Tatlicioglu, Enver

  • Author_Institution
    Elektron. ve Haberlesme Muhendisligi Bolumu, Izmir Yuksek Teknoloji Enstitusu, Izmir, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    1162
  • Lastpage
    1165
  • Abstract
    In this study, the input output relation of the twin rotor system which was constructed in our laboratory is obtained by using ANNs. When compared with the existing literature, main advantage of this modelling approach is that multi input multi output ANN structure is used preferred. As a result of this approach, the cross coupling effects, between the rotors and also between the outputs, are taken into consideration. Thus, we sincerely believe that the obtained input output model demonstrates a close behavior to the real system.
  • Keywords
    MIMO systems; aircraft control; neurocontrollers; rotors (mechanical); artificial neural network; cross coupling effect; multi input multi output ANN structure; twin rotor system; Artificial neural network; Modelling; Twin rotor system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7130042
  • Filename
    7130042