A Dynamic Power Management Strategy for Robotic Space Debris Capture Systems in Orbit Recycler Satellites
DOI:
https://doi.org/10.63313/FE.9006Keywords:
Space Debris, Power Management, Satellite Systems, Robotic Capture, Energy Optimization, State of ChargeAbstract
The accumulation of space debris in low Earth orbit has become a critical challenge for current and future space missions. Although various active debris removal concepts have been proposed, most existing studies focus on capture mechanisms while overlooking onboard power limitations. In practical satellite systems, debris capture operations often introduce transient high-power loads that may exceed available energy capacity. This paper proposes a dynamic power management strategy for an orbit recycler satellite equipped with a robotic capture module. The approach incorporates real-time power awareness into the control process by considering battery state-of-charge and instantaneous power margin when determining capture actions. In addition, a peak power mitigation method is introduced to reduce transient load spikes during actuator operation. Simulation results show that the proposed strategy effectively limits peak power within system constraints and improves battery utilization, while maintaining capture performance. The study highlights the importance of integrating power constraints into system-level design for reliable debris removal missions.
References
[1] Liou, J.-C. (2011). An active debris removal parametric study for LEO environment remediation. Advances in Space Research, 47(11), 1865–1876.
[2] Shan, M., Guo, J., & Gill, E. (2016). Review and comparison of active space debris capturing and removal methods. Progress in Aerospace Sciences, 80, 18–32.
[3] Forshaw, J. L., et al. (2016). RemoveDEBRIS: An in-orbit active debris removal demonstration mission. Acta Astronautica, 127, 448–463.
[4] Kawamoto, S., et al. (2019). Current status of space debris removal activities in Japan. Acta Astronautica, 166, 499–508.
[5] Krag, H., Serrano, M., & Braun, V. (2020). Space debris mitigation and active removal. ESA Technical Reports.
[6] Flores-Abad, A., et al. (2014). A review of space robotics technologies for on-orbit servicing. Progress in Aerospace Sciences, 68, 1–26.
[7] Xu, W., Liang, B., & Xu, Y. (2018). Survey of modeling, planning, and ground verification of space robotic systems. Acta Astronautica, 145, 56–68.
[8] Zhang, Y., et al. (2022). Autonomous capture of tumbling space debris using robotic manipulators. IEEE Access, 10, 12345–12356.
[9] Wen, H., et al. (2021). Motion planning and control for space robotic arms under dynamic constraints. Aerospace Science and Technology, 113, 106678.
[10] Wertz, J. R., Everett, D. F., & Puschell, J. J. (2011). Space Mission Engineering: The New SMAD. Microcosm Press.
[11] Fortescue, P., Stark, J., & Swinerd, G. (2011). Spacecraft Systems Engineering (4th ed.). Wiley.
[12] Gao, F., et al. (2020). Battery modeling and state-of-charge estimation for aerospace applications. IEEE Transactions on Aerospace and Electronic Systems, 56(3), 2345–2356.
[13] Wang, H., et al. (2021). Energy management strategies for satellite power systems under dynamic loads. IEEE Aerospace Conference Proceedings.
[14] Chen, L., et al. (2023). Peak power reduction techniques for energy-constrained systems. IEEE Access, 11, 45678–45689.
[15] Saleh, J. H. (2013). Analytical Methods for Space Systems Engineering. AIAA.
[16] Patil, S., et al. (2022). System-level optimization of energy-constrained robotic systems. IEEE Transactions on Robotics, 38(4), 2101–2115.
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