Robust Active Fault-Tolerant Configuration Control for Spacecraft Formation via Learning RBFNN Approaches
Publication: Journal of Aerospace Engineering
Volume 37, Issue 3
Abstract
This paper studies the issue of learning radial basis function neural network (RBFNN)-based robust reconfigurable fault-tolerant configuration control for spacecraft formation flying (SFF) systems subject to thruster faults and space perturbations. To robustly reconstruct thruster faults, a novel learning RBFNN estimator is innovatively explored, in which the P-type iterative learning algorithm is utilized to online update the weight matrix of the RBFNN model and the control technique is adopted to attenuate the effect of space perturbations. Further, a learning RBFNN output-feedback fault-tolerant control (FTC) method is developed for spacecraft formation configuration maintenance with high accuracy, and the learning RBFNN algorithm is used to update and compensate the synthesized perturbation. Finally, a numerical example is simulated to verify the presented learning RBFNN-based spacecraft formation FTC approach is feasible and superior.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This work is partially supported by National Natural Science Foundation of China (Grant Nos. 61703276, 12172168, and 61973153), Postgraduate Research and Practice Innovation Program of NUAA (Grant No. xcxjh20221501), and the Program of Shanghai Academic/Technology Research Leader (Project No. 20XD1430400).
References
Aryankia, K., and R. R. Selmic. 2022. “Neural network-based formation control with target tracking for second-order nonlinear multiagent systems.” IEEE Trans. Aerosp. Electron. Syst. 58 (1): 328–341. https://doi.org/10.1109/TAES.2021.3111719.
Boyd, S. P. 1994. Linear matrix inequalities in systems and control theory. Philadelphia: Society for Industrial and Applied Mathematics.
Cao, L., X. Chen, and A. K. Misra. 2014. “Minimum sliding mode error feedback control for fault tolerant reconfigurable satellite formations with J2 perturbations.” Acta Astronaut. 96 (Nov): 201–216. https://doi.org/10.1016/j.actaastro.2013.12.003.
Cao, L., B. Xiao, and M. Golestani. 2020. “Prescribed time attitude tracking control of spacecraft with arbitrary disturbance.” Nonlinear Dyn. 100 (3): 2505–2519. https://doi.org/10.1007/s11071-020-05596-5.
Chen, W., and F. N. Chowdhury. 2007. “Simultaneous identification of time-varying parameters and estimation of system states using iterative learning observers.” Int. J. Syst. Sci. 38 (Mar): 39–45. https://doi.org/10.1080/00207720601042934.
Chen, Y., R. Yu, and Y. Zhang. 2020. “Fully distributed spherical formation tracking control for nonlinear vehicles with spatiotemporal uncertainties and digraphs.” Nonlinear Dyn. 101 (Jul): 997–1013. https://doi.org/10.1007/s11071-020-05808-y.
Gao, H., Y. Xia, J. Zhang, and B. Cui. 2021. “Finite-time fault-tolerant output feedback attitude control of spacecraft formation with guaranteed performance.” Int. J. Robust Nonlinear Control 31 (10): 4664–4688. https://doi.org/10.1002/rnc.5504.
Gao, Z., and S. Wang. 2021. “Fault estimation and fault tolerance control for spacecraft formation systems with actuator fault and saturation.” Optim. Control. Appl. Methods 42 (6): 1591–1611. https://doi.org/10.1002/oca.2751.
García, G., and J. Bernussou. 1995. “Pole assignment for uncertain systems in a specified disk by state feedback.” IEEE Trans. Autom. Control 40 (1): 184–190.
Godard, and K. D. Kumar. 2010. “Fault tolerant reconfigurable satellite formations using adaptive variable structure techniques.” J. Guid. Control Dyn. 33 (3): 969–984. https://doi.org/10.2514/1.38580.
Hu, Q., Y. Shi, and C. Wang. 2021. “Event-based formation coordinated control for multiple spacecraft under communication constraints.” IEEE Trans. Syst. Man Cybern.: Syst. 51 (5): 3168–3179. https://doi.org/10.1109/TSMC.2019.2919027.
Jia, Q., H. Li, X. Chen, and Y. Zhang. 2019. “Observer-based reaction wheel fault reconstruction for spacecraft attitude control systems.” Aircr. Eng. Aerosp. Technol. 91 (10): 1268–1277. https://doi.org/10.1108/AEAT-07-2018-0203.
Jia, Q., R. Ma, C. Zhang, and R. Varatharajoo. 2023. “Spacecraft attitude fault-tolerant stabilization against loss of actuator effectiveness: A novel iterative learning sliding mode approach.” Adv. Space Res. 72 (2): 529–540. https://doi.org/10.1016/j.asr.2023.02.041.
Lee, D., K. D. Kumar, and M. Sinha. 2014. “Fault detection and recovery of spacecraft formation flying using nonlinear observer and reconfigurable controller.” Acta Astronaut. 97 (Apr): 58–72. https://doi.org/10.1016/j.actaastro.2013.12.002.
Li, P., Z. Liu, C.-Y. He, Q. Liu, and X.-Q. Liu. 2020. “Distributed adaptive fault-tolerant control for spacecraft formation with communication delays.” IEEE Access 8 (Jun): 118653–118663. https://doi.org/10.1109/ACCESS.2020.3003681.
Lian, X., J. Liu, L. Yuan, and N. Cui. 2018. “Mixed fault diagnosis scheme for satellite formation.” Aircr. Eng. Aerosp. Technol. 90 (2): 427–434. https://doi.org/10.1108/AEAT-11-2016-0206.
Liu, E., Y. Yan, and Y. Yang. 2022. “Neural network approximation-based backstepping sliding mode control for spacecraft with input saturation and dynamics uncertainty.” Acta Astronaut. 191 (Feb): 1–10. https://doi.org/10.1016/j.actaastro.2021.10.035.
Liu, G., and S. Zhang. 2018. “A survey on formation control of small satellites.” Proc. IEEE 106 (3): 440–457. https://doi.org/10.1109/JPROC.2018.2794879.
Liu, H., Y. Tian, F. L. Lewis, Y. Wan, and K. P. Valavanis. 2019. “Robust formation flying control for a team of satellites subject to nonlinearities and uncertainties.” Aerosp. Sci. Technol. 95 (Dec): 105455. https://doi.org/10.1016/j.ast.2019.105455.
Liu, R., M. Liu, Z. Sun, and J. Ding. 2016. “Impulse variance control for spacecraft autonomous rendezvous with an observer-based approach.” IMA J. Math. Control Inf. 35 (1): 57–73.
Mathavaraj, S., and R. Padhi. 2021. Satellite formation flying. Singapore: Springer.
Meskin, N., and K. Khorasani. 2006. “Fault detection and isolation of actuator faults in spacecraft formation flight.” In Proc., 45th IEEE Conf. on Decision and Control, 1159–1164. New York: IEEE.
Mihankhah, A., and A. Doustmohammadi. 2022. “Adaptive neural-based finite-time attitude synchronization and tracking control of multiple rigid bodies under actuator faults and saturation.” Aircr. Eng. Aerosp. Technol. 94 (3): 407–417. https://doi.org/10.1108/AEAT-10-2020-0219.
Nemati, S. 2019. “A nonlinear observer-based approach to fault detection, isolation and estimation for satellite formation flight application.” Automatica 107 (Sep): 474–482. https://doi.org/10.1016/j.automatica.2019.06.007.
Peng, C., and Y. Gao. 2017. “Formation-flying planar periodic orbits in the presence of intersatellite Lorentz force.” IEEE Trans. Aerosp. Electron. Syst. 53 (Mar): 1412–1430. https://doi.org/10.1109/TAES.2017.2671478.
Schilling, K. 2016. “Perspectives for miniaturized, distributed, networked cooperating systems for space exploration.” Rob. Auton. Syst. 90 (Apr): 118–124.
Shi, Y., and Q. Hu. 2021. “Observer-based spacecraft formation coordinated control via a unified event-triggered communication.” IEEE Trans. Aerosp. Electron. Syst. 57 (5): 3307–3319. https://doi.org/10.1109/TAES.2021.3074201.
Wang, D. W., B. Wu, and E. K. Poh. 2017. Satellite formation flying. Singapore: Springer.
Wei, M., C. Hu, D. Estévez, M. Tai, Y. Zhao, J. Huang, C. G. Bassa, T. J. Dijkema, X. Cao, and F. Wang. 2020. “Design and flight results of the vhf/uhf communication system of Longjiang lunar microsatellites.” Nat. Commun. 11 (Jul): 3425. https://doi.org/10.1038/s41467-020-17272-8.
Xiao, B., X. Wu, L. Cao, and X. Hu. 2022. “Prescribed time attitude tracking control of spacecraft with arbitrary disturbance.” IEEE Trans. Aerosp. Electron. Syst. 58 (3): 2531–2540. https://doi.org/10.1109/TAES.2021.3135372.
Yue, Y., J. Fan, H. Chen, Z.-X. Yang, and B. Wan. 2021. “Spacecraft formation control based on adaptive backstepping terminal sliding mode.” In Proc., 2021 40th Chinese Control Conf. (CCC), 7868–7873. Washington, DC: IEEE Computer Society.
Zhang, C., M. Z. Dai, J. Wu, B. Xiao, B. Li, and M. Wang. 2021. “Neural-networks and event-based fault-tolerant control for spacecraft attitude stabilization.” Aerosp. Sci. Technol. 114 (Jul): 106746. https://doi.org/10.1016/j.ast.2021.106746.
Zhang, J., Q. Hu, D. W. Wang, and W. Xie. 2017a. “Robust attitude coordinated control for spacecraft formation with communication delays.” Chin. J. Aeronaut. 30 (Mar): 1071–1085. https://doi.org/10.1016/j.cja.2017.01.014.
Zhang, Z., H. Yang, B. Jiang, V. Cocquempot, and Y. Cheng. 2017b. “Decentralised fault-tolerant control of tethered spacecraft formation: An interconnected system approach.” IET Control Theory Appl. 11 (Sep): 3047–3055. https://doi.org/10.1049/iet-cta.2017.0485.
Zhou, N., R. Chen, Y. Xia, J. Huang, and G. Wen. 2018. “Neural network–based reconfiguration control for spacecraft formation in obstacle environments.” Int. J. Robust Nonlinear Control 28: 2442–2456. https://doi.org/10.1002/rnc.4025.
Information & Authors
Information
Published In
Journal of Aerospace Engineering
Volume 37 • Issue 3 • May 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: May 21, 2023
Accepted: Oct 25, 2023
Published online: Jan 19, 2024
Published in print: May 1, 2024
Discussion open until: Jun 19, 2024
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.