Abstract
The service spacecraft captures the target spacecraft and forms a combined spacecraft, which is a complex, nonlinear, and coupled system with much uncertain parameters. Targets may also have autonomous maneuverability and output resistance torque to hinder the service spacecraft from performing on-orbit missions. To solve these problems, a fuzzy disturbance observer based nonsingular terminal sliding mode (NTSM) attitude controller is proposed. Firstly, the state-space representation of system is developed based on the attitude mathematical model of combined spacecraft. Next, an adaptive fuzzy disturbance observer is designed to approach the generalized disturbances including uncertainties of inertia, resistance torques of target spacecraft, external disturbance torques and so on. The observation error is proved to be uniformly bounded by constructing Lyapunov function. Then, based on the fuzzy disturbance observer, a NTSM controller with high control performance is designed to stabilize the attitude of combined spacecraft. Finally, simulations results verify the good tracking and control performance of the control strategy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chen, W., Balance, D.J., Gawthrop, P.J., O’Reilly, J.: A nonlinear disturbance observer for robotic manipulators. IEEE Trans. Industr. Electron. 47(4), 932–938 (2000)
Mohammadi, A., Tavakoli, M., Marquez, H.J., Hashemzadeh, F.: Nonlinear disturbance observer design for robotic manipulators. Control. Eng. Pract. 21, 253–267 (2013)
Gao, H., Lv, Y., Ma, G., Li, C.: Backstepping sliding mode control for combined spacecraft with nonlinear disturbance observer. In: 2016 UKACC 11th International Conference on Control (CONTROL), pp. 1–6. IEEE, Belfast, UK (2016)
Lee, D.: Nonlinear disturbance observer-based robust control for spacecraft formation flying. Aerosp. Sci. Technol. 76, 82–90 (2018)
Dou, L., Du, M., Zhang, X., Du, H., Liu, W.: Fuzzy disturbance observer-based sliding mode control for liquid-filled spacecraft with flexible structure under control saturation. IEEE Access 7, 149810–149819 (2019)
Zhi, Q., Cai, Y.: Fuzzy disturbance observer based attitude controller design for spacecraft. In: 2011 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), pp. 1–5. IEEE, Xi’an, China (2011)
Wang, Z., Li, Q., Li, S.: Adaptive integral-type terminal sliding mode fault tolerant control for spacecraft attitude tracking. IEEE Access 7, 35195–35207 (2019)
Dong, R., Wu, A., Zhang, Y., Duan, G.: Anti-unwinding sliding mode attitude control via two modified Rodrigues parameter sets for spacecraft. Automatica 129, 1–9 (2021)
Lv, Y., Qin, T., Zhang, W., Fang, H.: Attitude takeover of combined spacecraft based on super-twisting disturbance observer. Unmanned Syst. Technol. 3(5), 39–45 (2020)
Zhang, W., Yun, W., Guo, Y., Lv, Y.: Super-twisting disturbance observer based finite-time attitude control for combined spacecraft. In: 2020 Chinese Control and Decision Conference (CCDC), pp. 267–271. IEEE, Hefei, China (2020)
Lv, Y., Fang, H., Qin, T., Guo, Y.: Input-to-state stable attitude takeover control for combined spacecraft. J. Astronaut. 42(7), 873–880 (2021)
Acknowledgement
This work is funded by Science and Technology on Space Intelligent Control Laboratory (No. HTKJ2022KL502012 and HTKJ2021KL502002), National Natural Science Foundation of China (No. 61973100 and 12150008).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 Beijing HIWING Sci. and Tech. Info Inst
About this paper
Cite this paper
Sun, Y., Wang, Y., Cui, B., Lv, Y. (2023). Fuzzy Disturbance Observer Based NTSM Attitude Control for Combined Spacecraft. In: Fu, W., Gu, M., Niu, Y. (eds) Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022). ICAUS 2022. Lecture Notes in Electrical Engineering, vol 1010. Springer, Singapore. https://doi.org/10.1007/978-981-99-0479-2_179
Download citation
DOI: https://doi.org/10.1007/978-981-99-0479-2_179
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-0478-5
Online ISBN: 978-981-99-0479-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)