THE IMPORTANCE OF THE GYROSCOPE SENSOR IN THE DEVICES, ESPECIALLY IN THE PLANE

Khaleel Ali Khudhur

doi:10.61796/jaide.v3i4.1756

Authors

Khaleel Ali Khudhur
khaleel2012ali@ntu.edu.iq
Northern Technical University, Iraq

Vol. 3 No. 4 (2026): Journal of Artificial Intelligence and Digital Economy

Articles

February 28, 2026

Downloads

VIEW ARTICLE

Abstract
How to Cite
Metrics
References
License

Objective: The secret to producing high-precision tension for connection with a proposed gyroscope (CMGs) in spaceships is the fast speed regulation of gyroscope servo systems. Nevertheless, disturbances, particularly dynamic balancing disturbances that have the exact wavelength as the high-speed rotor, may severely reduce the system stability of gimbal robotic manipulators. Using a dynamic balanced machine to number of key factors the rotor imbalance in built CMGs is quite challenging. In order to calculate the dynamic instability of the rotor built in the CMG, a gimbal disturbances investigator is proposed in this study. Method: First, a third-order nonlinear system is created to characterize the behaviors of the disturbances in the gimbal servo system. In this system, the other problems and the rotational dynamic balancing torque along the gimbal axis are treated as being periodic and bounded, respectively. Using the complete disruption as a virtual observation, the gimbal disturbances observer is then created for the second dynamical system. Since the simulated measure is produced from the inverse kinematics of the stabilizer servo system, only observations of gimbal rotation and three-phase flux may be used to indirectly determine the knowledge of the rotating dynamic imbalance. Results: Results from semi-physical experiments show how well the observer works when a CMG simulator is used. Novelty: In order to calculate the dynamic instability of the rotor built in the CMG, a gimbal disturbances investigator is proposed in this study.

J. Huang, Z. Wu, Q. Hu, and J. Zhang, “High-precision anti-disturbance gimbal servo control for control moment gyroscopes via an extended harmonic disturbance observer,” IEEE Trans. Power Electron., vol. 37, pp. 6824–6835, 2022, doi: 10.1109/TPEL.2021.3121126.

S. Barman and M. Sinha, “Satellite attitude control using double-gimbal variable-speed control moment gyro with unbalanced rotor,” J. Guid. Control Dyn., vol. 45, pp. 2350–2365, 2022, doi: 10.2514/1.G006913.

Z. Wu, J. Huang, and J. Zhang, “High-precision control of CMG gimbal servo systems via a PIR controller and noise reduction extended disturbance observer,” Actuators, vol. 14, p. 196, 2025, doi: 10.3390/act14040196.

S. Jia and J. Shan, “Flexible structure vibration control using double-gimbal variable-speed control moment gyros,” J. Guid. Control Dyn., vol. 44, pp. 954–966, 2021, doi: 10.2514/1.G005684.

S. Barman and M. Sinha, “Singularity avoidance controller design for spacecraft attitude control using double-gimbal variable-speed CMG,” Eur. J. Control, vol. 30, p. 100782, 2023, doi: 10.1016/j.ejcon.2023.100782.

G. Das and M. Sinha, “Unwinding-free fast finite-time sliding-mode satellite attitude tracking control,” J. Guid. Control Dyn., vol. 46, pp. 324–340, 2023, doi: 10.2514/1.G006899.

S. Barman and M. Sinha, “Satellite attitude control using faulty double gimbal variable speed control moment gyroscope,” J. Guid. Control Dyn., vol. 47, pp. 112–129, 2024, doi: 10.2514/1.G007636.

M. Golestani, S. M. Esmaeilzadeh, and S. Mobayen, “Fixed-time control for high-precision attitude stabilization of flexible spacecraft,” Eur. J. Control, vol. 57, pp. 222–231, 2021, doi: 10.1016/j.ejcon.2020.05.006.

R. Q. Dong, A. G. Wu, Y. Zhang, and G. R. Duan, “Anti-unwinding sliding mode attitude control via two modified Rodrigues parameter sets for spacecraft,” Automatica, vol. 129, p. 109642, 2021, doi: 10.1016/j.automatica.2021.109642.

M. Dai, C. Zhang, X. Pan, Y. Yang, and Z. Li, “A novel attitude measurement while drilling system based on single-axis fiber optic gyroscope,” IEEE Trans. Instrum. Meas., vol. 71, p. 9500311, 2022, doi: 10.1109/TIM.2021.3133328.

J. Lu, L. Ye, J. Zhang, W. Luo, and H. Liu, “A new calibration method of MEMS IMU plus FOG IMU,” IEEE Sens. J., vol. 22, pp. 8728–8737, 2022, doi: 10.1109/JSEN.2022.3160692.

X. Bai, L. Wang, Y. Hu, P. Li, and Y. Zu, “Optimal path planning method for IMU system-level calibration based on improved Dijkstra algorithm,” IEEE Access, vol. 11, pp. 11364–11376, 2023, doi: 10.1109/ACCESS.2023.3240518.

Y. Zhang and J. R. Zhang, “Updated disturbance characteristics analysis of CMG due to imbalances and installation errors,” IEEE Trans. Aerosp. Electron. Syst., vol. 58, pp. 1377–1390, 2022, doi: 10.1109/TAES.2021.3123296.

E. Moulay, V. Lechapp, E. Bernuau, and F. Plestan, “Robust fixed-time stability: Application to sliding-mode control,” IEEE Trans. Autom. Control, vol. 67, pp. 1061–1066, 2021, doi: 10.1109/TAC.2021.3069667.

S. Ji, C. Zhang, and L. Ran, “An attitude improvement method of FOG-based measurement-while-drilling utilizing backtracking navigation algorithm,” IEEE Sens. J., vol. 22, pp. 22077–22088, 2022, doi: 10.1109/JSEN.2022.3209973.

Q. X. Wang, D. X. Li, and J. P. Jiang, “Advanced micro-vibration suppression for flywheel systems in high-precision spacecraft applications,” Aerosp. Sci. Technol., vol. 142, p. 108650, 2023, doi: 10.1016/j.ast.2023.108650.