• DocumentCode
    3510234
  • Title

    Application of the Neural Network Theory in Fully Decoupling of DTG

  • Author

    Luo Yufeng ; Xu Chao ; Fan Yaozu

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing
  • fYear
    2008
  • fDate
    1-3 Nov. 2008
  • Firstpage
    64
  • Lastpage
    68
  • Abstract
    The coupling of the output of dynamically tuned gyroscope (DTG) is very severe. In order to improve the precision of gyroscope, the decoupling design must be done. The traditional decoupling method has many restriction and can only designed in subsection. Especially the requirement of control decoupling and output decoupling canpsilat be fulfilled simultaneously. This dissertation analyzed the DTG coupled phenomena, decoupling the DTG with traditional method and try to resolve the problem with the theory of neural network, designed a neural network, and finally give decoupling simulation results.
  • Keywords
    computerised instrumentation; gyroscopes; neural nets; control decoupling; decoupling design; decoupling simulation; dynamically tuned gyroscope; neural network theory; output decoupling; Analytical models; Angular velocity; Automation; Chaos; Gyroscopes; Intelligent networks; Intelligent systems; Neural networks; Testing; Velocity measurement; Coupling; DTG Dynamically Tuned Gyroscope; Decoupling; Neural network.;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3391-9
  • Electronic_ISBN
    978-0-7695-3391-9
  • Type

    conf

  • DOI
    10.1109/ICINIS.2008.59
  • Filename
    4683169