Abstract
This study deals with the problem of disturbances in observer-based attitude tracking control for spacecraft in the presence of inertia-matrix uncertainty and arbitrary disturbance. Following the backstepping control, a tan-type barrier Lyapunov function (BLF)-based attitude tracking control method with prescribed settling time and performance is systematically developed. The proposed control framework possesses three advantages over the existing attitude controllers. Firstly, the singularity problem associated with the use of fractional power in fixed-time control is effectively resolved without employing any command filter or piece-wise continuous function. Secondly, inspired by the concept of the tan-type BLF approach, any desired performance for the attitude tracking error is satisfied. Lastly, the total disturbance, including the system’s uncertainty, external disturbances, and time-derivative of the virtual control, is precisely reconstructed during a predefined time, even if the initial estimation error tends to infinity. Moreover, this time is determined as a tunable gain in the observer. The numerical simulations confirm the superior performance of the proposed control strategy in comparison with the existing pertinent works.
Funder
Information Technology Research Center
Ministry of Education
Korean government
Subject
General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)
Reference44 articles.
1. Yao, Q., Jahanshahi, H., Bekiros, S., Mihalache, S.F., and Alotaibi, N.D. (2022). Indirect Neural-Enhanced Integral Sliding Mode Control for Finite-Time Fault-Tolerant Attitude Tracking of Spacecraft. Mathematics, 10.
2. Event-triggered policy to spacecraft attitude stabilization with actuator output nonlinearities;Dai;IEEE Trans. Circuits Syst. II Express Briefs,2021
3. Chen, W., and Hu, Q. (2022). Sliding-mode-based attitude tracking control of spacecraft under reaction wheel uncertainties. IEEE/CAA J. Autom. Sin., 1–13.
4. Robust finite-time control design for attitude stabilization of spacecraft under measurement uncertainties;Yao;Adv. Space Res.,2021
5. Shang, D., Li, X., Yin, M., and Li, F. (2022). Vibration Suppression for Two-Inertia System With Variable-Length Flexible Load Based on Neural Network Compensation Sliding Mode Controller and Angle-Independent Method. IEEE/ASME Trans. Mechatron., 1–12.
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