Aero-craft′s navigation and control based on adaptive simple uncertain Kalman filter algorithm
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    Abstract:

    Aimed at the problems which are serious couple interference and measure high angular velocity and angular acceleration when the aerocraft is circumrotating highly about itself, a new ASUKF (adaptive simple uncertain Kalman filter) algorithm was put forward. The ASUKF algorithm used hyper-spherical distribution and linear displace to accomplish simple sampling calculation and weight value calculation, and improved the algorithm′s efficiency. Characteristics of noise and linear equation were employed to finish selfadapting control. The ASUKF algorithm used sub-optimal estimation to compute procedural noise, and was judged that it is positive to prevent the algorithm invalidation. The simulation result shows that the ASUKF algorithm can reduce roll angle′s error and couple interference and improve aero-craft′s landing precision.

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History
  • Received:September 13,2017
  • Revised:
  • Adopted:
  • Online: January 17,2019
  • Published: December 28,2018
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