DOI QR코드

DOI QR Code

A Development of Docking Phase Analysis Tool for Nanosatellite

  • Received : 2020.06.15
  • Accepted : 2020.07.13
  • Published : 2020.09.30

Abstract

In order to avoid the high cost and high risk of demonstration mission of rendezvous-docking technology, missions using nanosatellites have recently been increasing. However, there are few successful mission cases due to many limitations of nanosatellites like small size, power limitation, and limited performances of sensor, thruster, and controller. To improve the probability of rendezvous-docking mission success using nanosatellite, a rendezvous-docking phase analysis tool for nanosatellites is developed. The tool serves to analyze the relative position and attitude control of the chaser satellite at the docking phase. In this tool, the Model Predictive Controller (MPC) is implemented as a controller, and Extended Kalman Filter (EKF) is adopted as a filter for noise filtering. To verify the performance and effectiveness of the developed tool for nanosatellites, simulation study was conducted. Consequently, we confirmed that this tool can be used for the analysis of relative position and attitude control for nanosatellites in the rendezvous-docking phase.

Keywords

References

  1. AFRL, XSS-11 micro-satellite, Air Force Research Laboratory Fact Sheet (2005).
  2. Bridges CP, Taylor B, Horri N, Underwood CI, Kenyon S, et al., STRaND-2: visual inspection, proximity operations & nanosatellite docking, Proceedings of IEEE Aerospace Conference, Big Sky, MT, 2-9 Mar 2013.
  3. Camacho EF, Bordons C, Model Predictive Control, 2nd ed. (Springer, New York, NY, 2004).
  4. Clohessy WH, Wiltshire RS, Terminal guidance system for satellite rendezvous, J. Aerosp. Sci. 27, 653-658 (1960). https://doi.org/10.2514/8.8704
  5. Farahani SS, Papusha I, McGhan C, Murray RM, Constrained autonomous satellite docking via differential flatness and model predictive control, Proceedings of IEEE 55th Conference on Decision and Control (CDC), Las Vegas, NV, 12-14 Dec 2016.
  6. Fear AJ, CubeSat autonomous rendezvous and docking software, Master Thesis, University of Texas at Austin (2014).
  7. Friend RB, Orbital express program summary and mission overview, Proceedings of SPIE, vol. 6958, Orlando, Fl, 15 April 2008.
  8. Gavilan F, Vazquez R, Camacho EF, Chance-constrained model predictive control for spacecraft rendezvous with disturbance estimation, Control Eng. Pract. 20, 111-122 (2012). https://doi.org/10.1016/j.conengprac.2011.09.006
  9. Gill E, D'Amico S, Montenbruck O, Autonomous formation flying for the PRISMA mission, J. Spacecr. Rockets. 44, 671-681 (2007). https://doi.org/10.2514/1.23015
  10. Kannan S, Sajadi-Alamdari SA, Dentler J, Olivares-Mendez MA, Voos H, Model predictive control for spacecraft rendezvous, Proceedings of the 4th International Conference on Control, Mechatronics and Automation, Luxembourg, Dec 2016.
  11. Kim HD, Choi WS, Cho DH, Kim MK, Kim JH, et al., Introduction to development of a rendezvous/docking demonstration satellite, Proceedings of KSAS 2019 Spring Conference, Goseong, Korea, 22-24 Apr 2019.
  12. Leomanni M, Rogers E, Gabrial SB, Explicit model predictive control approach for low-thrust spacecraft proximity operations, J. Guid. Control Dynam. 37, 1780-1790 (2014). https://doi.org/10.2514/1.G000477
  13. Lofberg J, YALMIP: a toolbox for modeling and optimization in MATLAB, Proceedings of IEEE International Symposium in Computer Aided Control Systems Design, New Orleans, LA, 2-4 Sep 2004.
  14. Markley FL, Crassidis JL, Fundamentals of Spacecraft Attitude Determination and Control, 4th ed. (Springer, New York, NY, 2014).
  15. Murchison L, Martinez A, Petro A, On-orbit autonomous assembly from nanosatellite, NASA Fact Sheet (2015).
  16. Park H, Cairano SD, Kolmanovsky I, Model predictive control for spacecraft rendezvous and docking with a rotating/tumbling platform and for debris avoidance, Proceedings of American Control Conference, San Francisco, CA, 29 Jun-1 Jul 2011.
  17. Pi J, Relative angles-only navigation for satellite relative motion, Master Thesis, Korea Advanced Institute of Science and Technology (2011).
  18. Roscoe CWT, Westphal JJ, Mosleh E, Overview and GNC design of the CubeSat Proximity Operations Demonstration (CPOD) mission, Acta Astronaut. 153, 410-421 (2018). https://doi.org/10.1016/j.actaastro.2018.03.033
  19. Rumford TE, Demonstration of autonomous rendezvous technology (DART) project summary, Proceedings of SPIE, vol. 5088, Orlando, Fl, 24 Apr 2003.
  20. Strippoli L, Paulino NG, Peyrard J, Colmenarejo P, Graziano M, et al., GNCDE as DD&VV environment for ADR missions GNC, Proceedings of 6th International Conference on Astrodynamics Tools and Techniques, Darmstadt, Germany, 17 Mar 2016.
  21. Weiss A, Baldwin M, Erwin RS, Kolmanovsky I, Model predictive control for spacecraft rendezvous and docking: strategies for handling constraints and case studies, IEEE Trans. Control Syst. Technol. 23, 1638-1647 (2015). https://doi.org/10.1109/TCST.2014.2379639
  22. Woffinden DC, Angles-only navigation for autonomous orbital rendezvous, PhD Dissertation, Utah State University (2008).
  23. Woffinden DC, On-orbit satellite inspection: navigation and ${\Delta}V$ analysis, Master Thesis, Massachusetts Institute of Technology (2004).