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http://dx.doi.org/10.5140/JASS.2018.35.4.263

Experimental Study of Spacecraft Pose Estimation Algorithm Using Vision-based Sensor  

Hyun, Jeonghoon (Department of Astronomy, Yonsei University)
Eun, Youngho (Department of Astronomy, Yonsei University)
Park, Sang-Young (Department of Astronomy, Yonsei University)
Publication Information
Journal of Astronomy and Space Sciences / v.35, no.4, 2018 , pp. 263-277 More about this Journal
Abstract
This paper presents a vision-based relative pose estimation algorithm and its validation through both numerical and hardware experiments. The algorithm and the hardware system were simultaneously designed considering actual experimental conditions. Two estimation techniques were utilized to estimate relative pose; one was a nonlinear least square method for initial estimation, and the other was an extended Kalman Filter for subsequent on-line estimation. A measurement model of the vision sensor and equations of motion including nonlinear perturbations were utilized in the estimation process. Numerical simulations were performed and analyzed for both the autonomous docking and formation flying scenarios. A configuration of LED-based beacons was designed to avoid measurement singularity, and its structural information was implemented in the estimation algorithm. The proposed algorithm was verified again in the experimental environment by using the Autonomous Spacecraft Test Environment for Rendezvous In proXimity (ASTERIX) facility. Additionally, a laser distance meter was added to the estimation algorithm to improve the relative position estimation accuracy. Throughout this study, the performance required for autonomous docking could be presented by confirming the change in estimation accuracy with respect to the level of measurement error. In addition, hardware experiments confirmed the effectiveness of the suggested algorithm and its applicability to actual tasks in the real world.
Keywords
relative pose estimation; vision-based sensor; extended Kalman Filter; hardware experiment; laser distance meter;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Cheng Y, Crassidis JL, Markley FL, Attitude estimation for large field-of-view sensors, J. Astronaut. Sci. 54, 433-448 (2005). https://doi.org/10.1007/BF03256499
2 Crassidis JL, Alonso R, Junkins JL, Optimal attitude and position determination from line-of-sight measurements, J. Astronaut. Sci. 48, 391-408 (2000).
3 Crassidis JL, Junkins JL, Optimal Estimation of Dynamic Systems (Chapman & Hall/CRC, New York, 2004).
4 Du JW, Vision based navigation system for autonomous proximity operations: an experimental and analytical study, PhD dissertation, Texas A&M University, (2004).
5 Eun Y, Park SY, Kim GN, Development of a hardware-inthe-loop testbed to demonstrate multiple spacecraft operations in proximity, Acta Astron. 147, 48-58 (2018). https://doi.org/10.1016/j.actaastro.2018.03.030   DOI
6 Jung S, Park SY, Park HE, Park C, Kim SW, et al., Real-time determination of relative position between satellites using laser ranging, J. Astron. Space Sci. 29, 351-362 (2012). https://doi.org/10.5140/JASS.2012.29.4.351   DOI
7 Junkins JL, Hughes DC, Karim P, Pariyapong WV, Visionbased navigation for rendezvous, docking and proximity operation, in Annual AAS Rocky Mountain Guidance and Control Conference, San Diego, CA, 3-7 Feb 1999.
8 Kim SG, Crassidis JL, Cheng Y, Fosbury AM, Junkins JL, Kalman filtering for relative spacecraft attitude and position estimation, J. Guid. Control Dyn. 30, 133-143 (2007). https://doi.org/10.2514/1.22377   DOI
9 Kim Y, Park SY, Lee E, Kim M, A deep space orbit determination software: overview and event prediction capability, J. Astron. Space Sci. 34, 139-151 (2017). https://doi.org/10.5140/JASS.2017.34.2.139   DOI
10 Lee D, Pernicka HJ, Vision-based relative state estimation using the unscented Kalman filter, Int. J. Aeronaut. Space Sci. 12, 24-36 (2011). https://doi.org/10.5139/IJASS.2011.12.1.24   DOI
11 Lee K, Oh H, Park HE, Park SY, Park C, Laser-based relative navigation using GPS measurements for spacecraft formation flying, J. Astron. Space Sci. 32, 387-393 (2015). https://doi.org/10.5140/JASS.2015.32.4.387   DOI
12 Lee E, Park SY, Shin B, Cho S, Choi EJ, et al., Orbit determination of KOMPSAT-1 and Cryosat-2 satellites using optical wide-field patrol network (OWL-Net) data with batch least squares filter, J. Astron. Space Sci. 35, 19-30 (2017a). https://doi.org/10.5140/JASS.2017.34.1.19
13 Lee E, Kim Y, Kim M, Park SY, Development, demonstration and validation of the deep space orbit determination software using lunar prospector tracking data, J. Astron. Space Sci. 34, 213-223 (2017b). https://doi.org/10.5140/JASS.2017.34.3.213   DOI
14 Lee J, Park SY, Kang DE, Relative navigation with intermittent laser-based measurement for spacecraft formation flying, J. Astron. Space Sci. 34, 163-173 (2018). https://doi.org/10.5140/JASS.2018.35.3.163
15 Lefferts EJ, Markley FL, Shuster MD, Kalman filtering for spacecraft attitude estimation, J. Guid. Control Dyn. 5, 417-429 (1982). https://doi.org/10.2514/3.56190   DOI
16 More JJ, The Levenberg-Marquardt algorithm: implementation and theory, in Conference of Numerical Analysis, Dundee, United Kingdom, 28 Jun 1977.
17 Saenz-Otero A, Miller DW, SPHERES: a platform for formation flight research, in Optics and Photonics 2005, San Diego, CA, 31 Jul - 4 Aug 2005.
18 Oh H, Park HE, Lee K, Park SY, Park C, Improved GPS-based satellites relative navigation using femtosecond laser relative distance measurements, J. Astron. Space Sci. 33, 45-54 (2016). https://doi.org/10.5140/JASS.2016.33.1.45   DOI
19 Olivieri L, Antonello A, Bettiol A, Branz F, Duzzi M, et al., Microgravity tests in preparation of a tethered electromagnetic docking space demonstration, in 68th International Astronautical Congress, Adelaide, Australia, 25-29 Sep 2017.
20 Rodgers LP, Concepts and technology development for the autonomous assembly and reconfiguration of modular space systems, PhD dissertation, MIT (2006).
21 Schaub H, Junkins JL, Analytical Mechanics of Aerospace Systems (AIAA, Reston, 2002).
22 Shin K, Oh H, Park SY, Park C, Real-time orbit determination of Korea regional navigation satellite system with intersatellite link, MS dissertation, Yonsei University (2016).
23 Sim SH, Park SY, Choi KH, Autonomous real-time relative navigation for formation flying satellites, J. Astron. Space Sci. 26, 59-74 (2009). https://doi.org/10.5140/JASS.2009.26.1.059   DOI
24 Vallado DA, Fundamentals of Astrodynamics and Applications (Springer, Berlin, 2014).
25 Wigbert F, Automated Rendezvous and Docking of Spacecraft (Cambridge University Press, Cambridge, 2008).
26 Xie Y, Hu J, Wang M, Hu H, Zhang H, Accurate and stable control of Shenzhou spacecraft in rendezvous and docking, Proceedings of the IFAC Symposium on Automatic Control in Aerospace, Wurzburg, Germany, 2-6 September 2013.
27 Zhang Z, A flexible new technique for camera calibration, IEEE Trans. Pattern Anal. Mach. Intell. 22, 1330-1334 (2000). https://doi.org/10.1109/34.888718   DOI
28 Xing GQ, Parvez SA, Nonlinear attitude state tracking control for spacecraft, J. Guid. Control, Dyn. 24, 624-626 (2001). https://doi.org/10.2514/2.4754   DOI
29 Xing Y, Cao X, Zhang S, Guo H, Wang F, Relative position and attitude estimation for satellite formation with coupled translational and rotational dynamics, Acta Astron. 67, 455-467 (2010). https://doi.org/10.1016/j.actaastro.2010.04.002   DOI
30 Zhang L, Yang H, Zhang S, Cai H, Kalman filtering for relative spacecraft attitude and position estimation: a revisit, J. Guid. Control Dyn. 37, 1706-1711 (2014). https://doi.org/10.2514/1.G000204   DOI
31 Alonso R, Crassidis JL, Junkins JL, Vision-based relative navigation for formation flying of spacecraft, in AIAA Guidance, Navigation, and Control Conference and Exhibit, Dever, CO, 14-17 Aug 2000.