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Integrated System for Autonomous Proximity Operations and Docking
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 Title & Authors
Integrated System for Autonomous Proximity Operations and Docking
Lee, Dae-Ro; Pernicka, Henry;
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An integrated system composed of guidance, navigation and control (GNC) system for autonomous proximity operations and the docking of two spacecraft was developed. The position maneuvers were determined through the integration of the state-dependent Riccati equation formulated from nonlinear relative motion dynamics and relative navigation using rendezvous laser vision (Lidar) and a vision sensor system. In the vision sensor system, a switch between sensors was made along the approach phase in order to provide continuously effective navigation. As an extension of the rendezvous laser vision system, an automated terminal guidance scheme based on the Clohessy-Wiltshire state transition matrix was used to formulate a "V-bar hopping approach" reference trajectory. A proximity operations strategy was then adapted from the approach strategy used with the automated transfer vehicle. The attitude maneuvers, determined from a linear quadratic Gaussian-type control including quaternion based attitude estimation using star trackers or a vision sensor system, provided precise attitude control and robustness under uncertainties in the moments of inertia and external disturbances. These functions were then integrated into an autonomous GNC system that can perform proximity operations and meet all conditions for successful docking. A six-degree of freedom simulation was used to demonstrate the effectiveness of the integrated system.
Integrated system;Proximity operations;Docking;State-dependent Ricatti equation;Linear quadratic Gaussiantype control;
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Analytical Graphics Inc. Satellite Tool Kit.

Brown, R. G. and Hwang, P. Y. C. (1997). Introduction to Random Signals and Applied Kalman Filtering: With MATLAB Exercises and Solutions. 3rd ed. New York: Wiley. pp. 202-204.

Cloutier, J. R. (1997). State-dependent Riccati equation techniques: An overview. Proceedings of the American Control Conference, Albuquerque, NM. pp. 932-936.

Crassidis, J. L. and Junkins, J. L. (2004). Optimal Estimation of Dynamic Systems. Boca Raton: Chapman & Hall/CRC.

Fabrega, J., Frezet, M., and Gonnaud, J. L. (1996). ATV GNC during rendezvous. Proceedings of the 3rd European Space Agency International Conference, Noordwijk, The Netherlands. pp. 85-93.

Fehse, W. (2003). Automated Rendezvous and Docking of Spacecraft. Cambridge: Cambridge Univeristy Press.

Gonnaud, J. L. and Pascal, V. (1999). ATV guidance, navigation and control for rendezvous with ISS. Proceedings of the 4th European Space Agency International Conference, Noordwijk, The Netherlands. pp. 501-510.

Gottselig, G. (2002). Orbital express advanced technology demonstration. Core Technologies for Space Systems Conference, Colorado Springs, CO.

Junkins, J. L., Hughes, D. C., Wazni, K. P., and Pariyapong, V. (1999). Vision-based navigation for rendezvous, docking and proximity operations. Advances in the Astronautical Sciences, 101, 203-220.

Kim, S. G., Crassidis, J. L., Cheng, Y., Fosbury, A. M., and Junkins, J. L. (2007). Kalman filtering for relative spacecraft attitude and position estimation. Journal of Guidance, Control, and Dynamics, 30, 133-143. crossref(new window)

Lefferts, E. J., Markley, F. L., and Shuster, M. D. (1982). Kalman filtering for spacecraft attitude estimation. Journal of Guidance, Control, and Dynamics, 5, 417-429. crossref(new window)

Nagata, T., J. Modi, V., and Matsuo, H. (2001). Dynamics and control of flexible multibody systems: Part II: Simulation code and parametric studies with nonlinear control. Acta Astronautica, 49, 595-610. crossref(new window)

Paielli, R. A. and Bach, R. E. (1993). Attitude control with realization of linear error dynamics. Journal of Guidance, Control, and Dynamics, 16, 182-189. crossref(new window)

Pelletier, F. J., Golla, D. F., and Allen, A. C. M. (2004). Lidar-based rendezvous navigation for MSR. AIAA/AAS Astrodynamics Specialist Conference and Exhibit, Providence, RI. pp. 629-643.

Pinard, D., Reynaud, S., Delpy, P., and Strandmoe, S. E. (2007). Accurate and autonomous navigation for the ATV. Aerospace Science and Technology, 11, 490-498. crossref(new window)

Prussing, J. E. and Conway, B. A. (1993). Orbital Mechanics. New York: Oxford University Press.

Rumford, T. (2003). Demonstration of autonomous rendezvous technology (DART) project summary. Proceedings of the SPIE, 5088, 10-19. crossref(new window)

Stansbery, D. T. and Cloutier, J. R. (2000). Position and attitude control of a spacecraft using the state-dependent Riccati equation technique. Proceedings of the American Control Conference, Chicago, IL. pp. 1867-1871.

Vallado, D. A. and McClain, W. D. (2001). Fundamentals of Astrodynamics and Applications. 2nd ed. Boston: Kluwer Academic Publishers. pp. 524-537.

Wie, B. (1998). Space Vehicle Dynamics and Control. Reston, VA: American Institute of Aeronautics and Astronautics. pp. 365-369.

Zimpfer, D., Kachmar, P., and Tuohy, S. (2005). Autonomous rendezvous, capture and in-space assembly: past, present and future. 1st Space Exploration Conference: Continuing the Voyage of Discovery, Orlando, FL. pp. 234-245.