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Title

On The Increasing The Attitude Estimation Accuracy of a 1U Cube-Sat on Low Orbit Depending on Extended Kalman Filter Algorithm

  Warshnine Barry 1 *

1  University of Debrecen, Department of Mathematical and Computational Science, Debrecen, Hungary
    (warshinabarrykurd@gmail.com)


Doi   :   https://doi.org/10.54216/GJMSA.090204

Received: June 23, 2023 Revised: September 13, 2023 Accepted: December 16, 2023

Abstract :

This research studies, analyzes, and develops the extended Kalman filter algorithm to increase its accuracy in estimating the attitude of a CUBESAT with a size of 1U and dimensions of 10 * 10 * 10 cm^3 at a low altitude of 600 km and a weight of 1.33 kg. This research also shows the components of the control system for the stability of the cubic satellite and its mechanism of action, Simulations were made for the control and attitude estimation systems using the MATLAB/R2020a environment. The nature of the orbit within which the cubic satellite moves is circular. This research demonstrated the effectiveness of the developed EDEKF attitude estimation algorithm in increasing the position accuracy of the CUBESAT by 2.79 times over the EKF filter, with an improvement rate of 64.1%. It also contributed to increasing the stability of the CUBESAT on orbit by 1.73 times, with an average error of 0.01%. The EDEKF algorithm was also able to reduce the settling time of the CUBESAT in orbit to a value of 531.65 minutes, which is approximately 1.52 times that of the EKF filter.

Keywords :

Cube-sat; Kalman Algorithm; Orbit; Estimation.

References :

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[2]     HÉRNANDEZ,J.A. design and analysis of the attitude control system for the s2tep mission. M.Sc. in Aerospace Engineering, Bremen, Germany November 5, 2017.

[3]     ZORITA,J. dynamics of small satellites with gravity gradient attitude control. Space and Plasma Physics Department KTH, Kungliga Tekniska H¨ogskolan SE-100 44 Stockholm Sweden,2011.

[4]     MOHAMMED,M.A; et al. Performance comparison of attitude determination, attitude estimation, and nonlinear observers algorithms. Journal of Physics: Conf. Series, 783 (2017).

[5]     Hassan,a.m; ElBadawy, a. a. Design and validation of a sliding mode disturbance observerbased control for a CubesSat nano-satellite. International Conference on Aerospace Sciences & Aviation Technology, 2019.

[6]     SEGAN,S; AR·CETA,D. Orbit Determination And Parameter Estimation: Extended Kalman Filter (Ekf) Versus Least Squares Orbit Determination (LSQOD). Publ. Astron. Obs. Belgrade ,No. 86 (2009).

[7]     GRIGORE,V. Unscented Kalman Filters for Attitude and Orbit Estimation of a Low Earth Orbit CubeSat. Kth Royal Institute Of Technology, Stockholm, Sweden, 2014.

[8]     WELCH,G; BISHOP,G. An Introduction to the Kalman Filter. University of North Carolina at Chapel Hill,2006.

[9]     CILDEN,D; SOKEN,H.E; HAJIYEV,C. Nanosatellite Attitude Estimation From Vector Measurements Using Svd-Aided Ukf Algorithm. Metrology And Measurement Systems, Vol. 24 ,No. 1, 2017, pp. 113–125.

[10]  GABER1,K; EL_MASHADE1,M; ABDEL AZIZ,G.A. High precision attitude determination and control system design and real-time verification for CubeSats. International Journal of Communication Systems ,May 2020.


Cite this Article as :
Style #
MLA Warshnine Barry. "On The Increasing The Attitude Estimation Accuracy of a 1U Cube-Sat on Low Orbit Depending on Extended Kalman Filter Algorithm." Galoitica: Journal of Mathematical Structures and Applications, Vol. 9, No. 2, 2023 ,PP. 31-40 (Doi   :  https://doi.org/10.54216/GJMSA.090204)
APA Warshnine Barry. (2023). On The Increasing The Attitude Estimation Accuracy of a 1U Cube-Sat on Low Orbit Depending on Extended Kalman Filter Algorithm. Journal of Galoitica: Journal of Mathematical Structures and Applications, 9 ( 2 ), 31-40 (Doi   :  https://doi.org/10.54216/GJMSA.090204)
Chicago Warshnine Barry. "On The Increasing The Attitude Estimation Accuracy of a 1U Cube-Sat on Low Orbit Depending on Extended Kalman Filter Algorithm." Journal of Galoitica: Journal of Mathematical Structures and Applications, 9 no. 2 (2023): 31-40 (Doi   :  https://doi.org/10.54216/GJMSA.090204)
Harvard Warshnine Barry. (2023). On The Increasing The Attitude Estimation Accuracy of a 1U Cube-Sat on Low Orbit Depending on Extended Kalman Filter Algorithm. Journal of Galoitica: Journal of Mathematical Structures and Applications, 9 ( 2 ), 31-40 (Doi   :  https://doi.org/10.54216/GJMSA.090204)
Vancouver Warshnine Barry. On The Increasing The Attitude Estimation Accuracy of a 1U Cube-Sat on Low Orbit Depending on Extended Kalman Filter Algorithm. Journal of Galoitica: Journal of Mathematical Structures and Applications, (2023); 9 ( 2 ): 31-40 (Doi   :  https://doi.org/10.54216/GJMSA.090204)
IEEE Warshnine Barry, On The Increasing The Attitude Estimation Accuracy of a 1U Cube-Sat on Low Orbit Depending on Extended Kalman Filter Algorithm, Journal of Galoitica: Journal of Mathematical Structures and Applications, Vol. 9 , No. 2 , (2023) : 31-40 (Doi   :  https://doi.org/10.54216/GJMSA.090204)