Motion Control System for Quadcopter Based on Cascade Kalman Filters
Author:
Publisher
Allerton Press
Subject
Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation
Link
https://link.springer.com/content/pdf/10.3103/S8756699022040069.pdf
Reference13 articles.
1. M. Euston, P. Coote, R. Mahony, J. Kim, and T. Hamel, ‘‘A complementary filter for attitude estimation of a fixed-wing UAV,’’ in IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Nice, France, 2008 (IEEE, 2008), pp. 340–345. https://doi.org/10.1109/IROS.2008.4650766
2. J. Calusdian, X. Yun, and E. Bachmann, ‘‘Adaptive-gain complementary filter of inertial and magnetic data for orientation estimation,’’ in IEEE Int. Conf. on Robotics and Automation, Shanghai, 2011 (IEEE, 2011), pp. 1916–1922. https://doi.org/10.1109/ICRA.2011.5979957
3. S. O. H. Madgwick, A. J. L. Harrison, and R. Vaidyanathan, ‘‘Estimation of IMU and MARG orientation using a gradient descent algorithm,’’ in IEEE Int. Conf. on Rehabilitation Robotics, Zurich, 2011 (IEEE, 2011), pp. 1–7. https://doi.org/10.1109/ICORR.2011.5975346
4. S. O. H. Madgwick, S. Wilson, R. Turk, J. Burridge, C. Kapatos, and R. Vaidyanathan, ‘‘An extended complementary filter for full-body MARG orientation estimation,’’ IEEE/ASME Trans. Mechatronics 25, 2054–2064 (2020). https://doi.org/10.1109/TMECH.2020.2992296
5. A. Deibe, J. A. A. Nacimiento, J. Cardenal, and F. L. Pena, ‘‘A Kalman filter for nonlinear attitude estimation using time variable matrices and quaternions,’’ Sensors 20, 6731 (2020). https://doi.org/10.3390/s20236731.
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