Galoitica: Journal of Mathematical Structures and Applications GJMSA 2834-5568 10.54216/GJSMA https://www.americaspg.com/journals/show/2366 2022 2022 On The Increasing The Attitude Estimation Accuracy of a 1U Cube-Sat on Low Orbit Depending on Extended Kalman Filter Algorithm University of Debrecen, Department of Mathematical and Computational Science, Debrecen, Hungary Warshnine Barry 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 MATLABR2020a 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. 2023 2023 31 40 10.54216/GJMSA.090204 https://www.americaspg.com/articleinfo/33/show/2366