• Electronics Optics & Control
  • Vol. 29, Issue 7, 126 (2022)
LIU Kangan1, ZHANG Weiwei2, XIAO Yongchao1, and YE Mu1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2022.07.023 Cite this Article
    LIU Kangan, ZHANG Weiwei, XIAO Yongchao, YE Mu. Attitude Calculation of Quadrotor UAV Based on Adaptive Unscented Kalman Filter[J]. Electronics Optics & Control, 2022, 29(7): 126 Copy Citation Text show less
    References

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    [3] WU Z M, SUN Z G, ZHANG W Z.A novel approach for attitude estimation based on MEMS inertial sensors using nonlinear complementary filters[J].IEEE Sensors Journal, 2016, 16(10):3856-3864.

    [4] WANG L, ZHANG Z, SUN P.Quaternion-based Kalman filter for AHRS using an adaptive-step gradient descent algorithm[J].International Journal of Advanced Robotic Systems, 2015, 12(9):131-133.

    [5] LEFFERTS E J, MARKLEY F L, SHUSTER M D.Kalman filtering for spacecraft attitude estimation[J].Journal of Guidance, Control and Dynamics, 2012, 5(4):536-542.

    [8] KHAMSEH H B, JANABI-SHARIFI F.UKF-based LQR control of a manipulating unmanned aerial vehicle [J].Unmanned Systems, 2017, 5(3):131-139.

    [9] GARCIA R V, KUGA H K, SILVA W R, et al.Unscented Kalman filter and smoothing applied to attitude estimation of artificial satellites[J].Computational & Applied Mathematics, 2018, 37(4):55-64.

    [10] WANG G Q, LI N, ZHANG Y G.Hybrid consensus sigma point approximation nonlinear filter using statistical linearization[J].Transactions of the Institute of Measurement and Control, 2017, 40:2517-2525.

    LIU Kangan, ZHANG Weiwei, XIAO Yongchao, YE Mu. Attitude Calculation of Quadrotor UAV Based on Adaptive Unscented Kalman Filter[J]. Electronics Optics & Control, 2022, 29(7): 126
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