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HAN Ping, GAN Hao-liang, HE Wei-kun, ALAZARD Daniel. Aircraft attitude estimation method based on CKF[J]. Journal of Traffic and Transportation Engineering, 2013, 13(6): 113-118.
Citation: HAN Ping, GAN Hao-liang, HE Wei-kun, ALAZARD Daniel. Aircraft attitude estimation method based on CKF[J]. Journal of Traffic and Transportation Engineering, 2013, 13(6): 113-118.
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Aircraft attitude estimation method based on CKF

  • 1.

    Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China

  • 2.

    Chongqing Air Traffic Mangement Sub-Bureau of Civil Aviation Administration of China

  • 3.

    Department of Mathematics and Control, Institut Supérieur de l'AéRonautique et de L'Espace

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  • Author Bio:

    HAN Ping(1966-), female, professor, PhD, + 86-20-24092450, hanpingcauc@163.com

  • Received Date: 2013-07-18
  • Publish Date: 2013-12-25
    Abstract
  • In order to improve the estimation accuracy of aircraft attitude in nonlinear model, a nonlinear estimation model based on the quaternion and the sensors with less accuracy and higher noise was established, and the cubature Kalman filter(CKF) algorithm based on spherical-radial cubature rules was applied to estimate the attitude. The model and algorithm were verified by using the real flying data. The estimation results of cubature Kalman filter algorithm, extended Kalman filter (EKF) algorithm and central difference Kalman filter (CDKF) algorithm were compared. Comparison result indicates that the estimation precision and stability of CKF are higher, its estimation time and error are minimum, and the derivation and adjustable parameters are not required in the estimation. 1 tab, 7 figs, 15 refs.

     

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    • References(15)
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