• DocumentCode
    2014806
  • Title

    NN adaptive control of spacecraft attitude

  • Author

    Zhou, Yucheng ; Zhao, Yannan ; Yang, Zehong ; Wang, Jiaqin

  • Author_Institution
    Dept. of Comput. science & Technol., Tsinghua Univ., Beijing, China
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    2528
  • Abstract
    Modern spacecraft demand an attitude control system with very high performance and accuracy, and many new features, such as self-modification, adaptability, more autonomy and fault tolerance. NN adaptive control can be applied to spacecraft attitude control to meet the demanding requirements and to provide many new features. To control spacecraft attitude motion, a recurrent NN is used to train as an identification model and an adaptive controller. The quaternion method can overcome the singularity problem in a traditional Euler differential equation. To accelerate the convergence speed of the NN training course, an extended Kalman filter method is used to train NN weights.
  • Keywords
    Kalman filters; adaptive control; attitude control; convergence; fault tolerance; feedforward neural nets; filtering theory; identification; learning (artificial intelligence); neurocontrollers; nonlinear filters; recurrent neural nets; space vehicles; adaptability; adaptive controller; attitude motion control; autonomy; extended Kalman Filter method; fault tolerance; identification model; neural net adaptive control; quaternion method; self-modification; spacecraft attitude control; training; Acceleration; Adaptive control; Attitude control; Differential equations; Fault tolerant systems; Motion control; Neural networks; Programmable control; Quaternions; Space vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
  • Print_ISBN
    0-7803-7268-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2002.1021551
  • Filename
    1021551