Tracking the Trajectory of Space Debris in Close Proximity via a Vision-Based Method
Publication: Journal of Aerospace Engineering
Volume 27, Issue 2
Abstract
The increasingly cluttered environment in space is placing a premium on future spacecraft and satellites that are capable of tracking and estimating the trajectory of unknown space debris autonomously without consistent communication with ground stations. In this paper, a vision-based debris trajectory–tracking method in close proximity is presented using two cameras onboard of two satellites in a formation. To differentiate the target debris from other clutters, a data-association technique is investigated. A two-stage nonlinear robust controller is developed to adjust the attitude of the satellites such that the target debris can be maintained within the field of view of the onboard cameras. Capabilities of the proposed estimation and control methods are validated in the simulations.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The authors thank the anonymous reviewers for their comments and suggestions. Also, the authors appreciate the support from Jaydeep Mukherjee in the Florida Space Grant Consortium through the Research Grant No. 16299904-Y5.
References
Bar-Shalom, Y., Daum, F., and Huang, J. (2009). “The probabilistic data association filter.” IEEE Control Syst. Mag., 29(6), 82–100.
Bar-Shalom, Y., and Fortmann, T. E. (1988). Tracking and data association, Academic Press, Orlando, FL.
Bartolini, G., Ferrara, A., Usai, E., and Utkin, V. I. (2000). “On multi-input chattering-free second order sliding mode control.” IEEE Trans. Autom. Control, 45(9), 1711–1717.
Cao, X. H., Su, F. L., Sun, H. D., and Xu, G. D. (2007). “Space debris observation via space-based ISAR imaging.” Proc., Int. Conf. on Microwave Millimeter Wave Technology, IEEE, New York, 1–5.
Carl, J. R., Arndt, G. D., Bourgoise, B. A., and Paz, I. (1993). “Space-borne radar detection of orbital debris.” Proc., Global Telecommunications Conf., IEEE, New York, 939–943.
Chobotov, V. A., Herman, D. E., and Johnson, C. G. (1997). “Collision and debris hazard assessment for a low-Earth-orbit space constellation.” J. Spacecr. Rockets, 34(2), 233–238.
Efe, M., and Bonvi, D. (2002). “Data association in clutter with an adaptive filter.” Proc., Int. Conf. on Information Fusion, IEEE, New York, 1243–1248.
Ender, J., Leushacke, L., Brenner, A., and Wilden, H. (2011). “Radar techniques for space situational awareness.” Proc., Int. Radar Symp., IEEE, New York, 21–26.
Hale, F. J. (1994). Introduction to space flight, Prentice Hall, Upper Saddle River, NJ.
Harrison, D. C., and Chow, J. C. (1996). “The space-based visible sensor.” Johns Hopkins APL Tech. Dig., 17(2), 226–236.
Heimerdinger, D. J. (2005). “Orbital debris and associated space flight risks.” Proc., Annual Reliability and Maintainability Symp., IEEE, New York, 508–513.
Kim, Y., Choi, S. L., and Hong, K. S. (2001). “A suboptimal algorithm for the optimal Bayesian filter using receding horizon FIR filter.” Proc., IEEE Int. Symp. on Industrial Electronics, IEEE, New York, 1860–1865.
Kim, Y., Mesbahi, M., and Hadaegh, F. Y. (2003). “Dual-spacecraft formation flying in deep space: Optimal collision-free reconfiguration.” J. Guid. Control Dyn., 26(2), 375–379.
Krupp, D. R., Shkolnikov, I. A., and Shtessel, Y. B. (2000). “High order sliding modes in dynamic sliding manifolds, SMC design with uncertain actuator.” Proc., American Control Conf., IEEE, New York, 1124–1128.
Levant, A. (2003). “High-order sliding modes, differentiation and output-feedback control.” Int. J. Control, 76(9–10), 924–941.
Lin, C. M., and Hsu, C. F. (2002). “Guidance law design by adaptive fuzzy sliding-mode control.” J. Guid. Control Dyn., 25(2), 248–256.
Loughman, J. J. (2010). “Overview and analysis of the SOLDIER satellite concept for removal of space debris.” Proc., SPACE Conf., American Institute of Aeronautics and Astronautics (AIAA), Reston, VA, Paper No. 2010-8909.
Molayath, A., and Khan, Y. (2010). “Studies on space debris tracking and elimination.” Proc., AIAA/ASME/SAE/ASEE Joint Propulsion Conf. and Exhibit, American Institute of Aeronautics and Astronautics (AIAA), Reston, VA, Paper No. 2010-7008.
Musicki, D., La Scala, B. F., and Evans, R. J. (2007). “Integrated track splitting filter-efficient multi-scan single target tracking in clutter.” IEEE Trans. Aerosp. Electron. Syst., 43(4), 1409–1425.
Panta, K., Vo, B., and Singh, S. (2007). “Novel data association schemes for the probability hypothesis density filter.” IEEE Trans. Aerosp. Electron. Syst., 43(2), 556–570.
Pardini, C., and Anselmo, L. (1999). “Assessing the risk of orbital debris impact.” Space Debris, 1(1), 59–80.
Pate-Cornell, E., and Sachon, M. (2001). “Risks of particle hits during spacewalks in low Earth orbit.” IEEE Trans. Aerosp. Electron. Syst., 37(1), 134–146.
Phuah, J., Lu, J., and Yahagi, T. (2005). “Chattering free sliding mode control in magnetic levitation system.” IEEJ Trans. Electron. Inf. Syst., 125(4), 600–606.
Ren, W., and Beard, R. W. (2004). “Formation feedback control for multiple spacecraft via virtual structures.” IEE Proc.: Control Theory Appl., 151(3), 357–368.
Sato, T. (1999). “Shape estimation of space debris using single-range Doppler interferometry.” IEEE Trans. Geosci. Remote Sens., 37(2), 1000–1005.
Scharf, D. P., Hadaegh, F. Y., and Ploen, S. R. (2003). “A survey of spacecraft formation flying guidance and control (part I): Guidance.” Proc., American Control Conf., IEEE, New York, 1733–1739.
Simon, D. (2006). Optimal state estimation, Wiley, Hoboken, NJ.
Slotine, J.-J. E., and Li, W. (1991). Applied nonlinear control, Prentice Hall, Englewood Cliffs, NJ.
Stokes, G. H., Braun, C. V., Sridharan, R., Harrison, D., and Sharma, J. (1998). “The space-based visible program.” Lincoln Lab. J., 11(2), 205–238.
Sultan, C., Seereram, S., and Mehra, R. K. (2007). “Deep space formation flying spacecraft path planning.” Int. J. Rob. Res., 26(4), 405–430.
Terui, F., Kamimura, H., and Nishida, S. (2006). “Motion estimation to a failed satellite on orbit using stereo vision and 3D model matching.” Proc., Int. Conf. on Control, Automation, Robotics, and Vision, IEEE, New York, 1–8.
Vermaak, J., Godsill, S. J., and Perez, P. (2005). “Monte Carlo filtering for multi-target tracking and data association.” IEEE Trans. Aerosp. Electron. Syst., 41(1), 309–332.
Wang, Q., Xing, M. D., and Bao, Z. (2007). “Space debris radar imaging.” Proc., IET Int. Conf. on Radar Systems, Institution of Engineering and Technology (IET), London, 1–3.
Ward, J., Jason, S., and Sweeting, M. (1999). “Microsatellite constellation for disaster monitoring.” AIAA/USU Conf. on Small Satellites, American Institute of Aeronautics and Astronautics (AIAA), Reston, VA, SSC-99-V-2.
Xu, Y. (2005). “Sliding mode control and optimization for 6 DOF satellites’ formation flying considering saturation.” J. Astronaut. Sci., 53(4), 433–443.
Xu, Y. (2008). “Chattering free robust control for nonlinear systems.” IEEE Trans. Control Syst. Technol., 16(6), 1352–1359.
Xu, Y. (2010). “Multi-timescale nonlinear robust control for a miniature helicopter.” IEEE Trans. Aerosp. Electron. Syst., 46(2), 656–671.
Xu, Y., and Ritz, E. (2009). “Vision based flexible beam tip point control.” IEEE Trans. Control Syst. Technol., 17(3), 1220–1227.
Yao, B., and Tomizuka, M. (1994). “Smooth robust adaptive sliding mode control of manipulators with guaranteed transient performance.” Proc., American Control Conf., IEEE, New York, 1176–1180.
Information & Authors
Information
Published In
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Mar 13, 2012
Accepted: Jun 11, 2012
Published online: Feb 14, 2014
Published in print: Mar 1, 2014
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.