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Autonomous target capturing of free-floating space robot: Theory and experiments

Published online by Cambridge University Press:  01 May 2009

Wenfu Xu*
Affiliation:
The Institute of Space Intelligent System, Harbin Institute of Technology, Harbin, P.R. China.
Bin Liang
Affiliation:
The Institute of Space Intelligent System, Harbin Institute of Technology, Harbin, P.R. China.
Cheng Li
Affiliation:
The Institute of Space Intelligent System, Harbin Institute of Technology, Harbin, P.R. China.
Yu Liu
Affiliation:
The Institute of Space Intelligent System, Harbin Institute of Technology, Harbin, P.R. China.
Yangsheng Xu
Affiliation:
Department of Automation and Computer-Aided Engineering, The Chinese University of Hong Kong, Hong Kong, P.R. China.
*
*Corresponding author. E-mail: [email protected]

Summary

Space robotic systems are expected to play an increasingly important role in the future. Unlike on the earth, space operations require the ability to work in the unstructured environment. Some autonomous behaviors are necessary to perform complex and difficult tasks in space. This level of autonomy relies not only on vision, force, torque, and tactile sensors, but also the advanced planning and decision capabilities. In this paper, the authors study the autonomous target capturing from the issues of theory and experiments. Firstly, we deduce the kinematic and dynamic equations of space robotic system. Secondly, the visual measurement model of hand–eye camera is created, and the image processing algorithms to extract the target features are introduced. Thirdly, we propose an autonomous trajectory planning method, directly using the 2D image features. The method predicts the target motion, plans the end-effector's velocities and solves the inverse kinematic equations using practical approach to avoid the dynamic singularities. At last, numeric simulation and experiment results are given. The ground experiment system is set up based on the concept of dynamic simulation and kinematic equivalence. With the system, the experiments of autonomous capturing a target by a free-floating space robot, composed of a 6-DOF manipulator and a satellite as its base, are conducted, and the results validate the proposed algorithm.

Type
Article
Copyright
Copyright © Cambridge University Press 2008

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References

1.Hirzinger, G., Landzettel, K., Brunner, B., Fischer, M. and Preusche, C., “DLR's robotics technologies for on-orbit servicing,” Adv. Rob. 18 (2), 139174 (2004).CrossRefGoogle Scholar
2.Landzettel, K., Preusche, C., Albu-Schaffer, A. and Reintsema, D., “Robotic On-Orbit Servicing–DLR's Experience and Perspective,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Beijing, China (2006) pp. 45874594.Google Scholar
3.Yoshida, K., “Engineering test satellite VII flight experiments for space robot dynamics and control: Theories on laboratory test beds ten years ago, now in orbit,” Int. J. Rob. Res. 22 (5), 321335 (2003).CrossRefGoogle Scholar
4.Wilson, J. R., “Satellite hopes ride on orbital express,” Aerospace Am. 45 (2), 3035 (2007).Google Scholar
5.Web, B., Orbital Express–Mission Updates. Available at: http://www.boeing.com/ids/advanced_systems/orbital/updates.html (2007).Google Scholar
6.Nakamura, Y. and Mukherjee, R., “Nonholonomic path planning of space robots via a bidirectional approach,” IEEE Trans. Rob. Automat. 7 (4), 500514 (1991).CrossRefGoogle Scholar
7.Xu, W. F., Liu, Y., Liang, B., Xu, Y. S., Li, C. and Qiang, W. Y., “Nonholonomic Path Planning of a Free-Floating Space Robotic System Using Genetic Algorithms”, Advanced Robotics, 22 (4), 451476 (2008).CrossRefGoogle Scholar
8.Carter, F. M. and Cherchas, D. B., “Motion control of non-fixed base robotic manipulators,” Robotica 17 (2), 143157 (1999).CrossRefGoogle Scholar
9.Rivals-Mazéres, G. de, Yim, W., Mora-Camino, F. and Singh, S. N., “Inverse control and stabilization of free-flying flexible robots,” Robotica 17 (3), 343350 (1999).CrossRefGoogle Scholar
10.Caccavale, F. and Siciliano, B., “Kinematic control of redundant free-floating robotic systems,” Adv. Rob. 15, 429448 (2001).CrossRefGoogle Scholar
11.Caccavale, F. and Siciliano, B., “Quaternion-Based Kinematic Control of Redundant Spacecraft/Manipulator Systems,” Proceedings of the IEEE International Conference on Robotics and Automation, Seoul, Korea (2001) pp. 435440.Google Scholar
12.Yoshida, K. and Umetani, Y., “Control of space free-flying robot,” Proceedings of the 29th Conference on Decision and Control, Honolulu, Hawaii (1990) pp. 97102.CrossRefGoogle Scholar
13.Umetani, Y. and Yoshida, K., “Workspace and manipulability analysis of space manipulator,” Trans. Soc. Instrum. Control Eng. E-1 (1), 116123 (2001).Google Scholar
14.Agrawal, S. K., Chen, M. Y. and Annapragada, M., “Modeling and simulation of assembly in a free-floating work environment by a free-floating robot,” Trans. ASME J. Mech. Des. 118 (1), 115120 (1996).CrossRefGoogle Scholar
15.Papadopoulous, E., Ali, S. and Moosavian, A., “Dynamics and Control of Multi-Arm Space Robots During Chase and Capture Operations,” Proceedings of the IEEE International Conference on Intelligent Robots and Systems, Munich, Germany (1994) pp. 15541561.Google Scholar
16.Nagamatsu, H., Kubota, T. and Nakatani, I., “Capture Strategy for Retrieval of a Tumbling Satellite by a Space Robotic Manipulator,” Proceedings of the IEEE Conference on Robotic and Automation, Minneapolis, MN (1996) pp. 7075.CrossRefGoogle Scholar
17.Nagamatsu, H., Kubota, T. and Nakatani, I., “Autonomous Retrieval of a Tumbling Satellite Based on Predictive Trajectory,” Proceedings of the International Conference on Robotics and Automation, Albuquerque, New Mexico (1997) pp. 30743079.CrossRefGoogle Scholar
18.Huang, P. F., Xu, Y. S. and Liang, B., “Tracking trajectory planning of space manipulator for capturing operation,” Int. J. Adv. Rob. Syst. 3 (3), 211218 (2006).Google Scholar
19.McCourt, R. A. and Silva, C. W. de, “Autonomous robotic capture of a satellite using constrained predictive control,” IEEE/ASME Trans. Mechatron. 11 (6), 699708 (2006).CrossRefGoogle Scholar
20.Xu, Y. S. and Kanade, T., Space Robotics: Dynamics and Control, Massachusetts, USA (Kluwer Academic Publishers, 1992).Google Scholar
21.Moosavian, S. A. and Papadopoulos, E., “Free-flying robots in space: An overview of dynamics modeling, planning and control,” Robotica 25 (5), 537547 (2007).CrossRefGoogle Scholar
22.Umetani, Y. and Yoshida, K., “Resolved motion rate control of space manipulators with generalized Jacobian matrix,” IEEE Trans. Rob. Automat. 5 (3), 303314 (1989).CrossRefGoogle Scholar
23.Papadopoulos, E. and Dubowsky, S., “Dynamic singularities in the control of free-floating space manipulators,” ASME J. Dyn. Syst., Meas. Control 115 (1), 4452 (1993).CrossRefGoogle Scholar
24.Yin, L., Yang, R., Gabbouj, M. and Neuvo, Y., “Weighted median filters: A tutorial,” IEEE Trans. Circuits and Systems II 43 (3), 157192 (1996).Google Scholar
25.Sonka, M., Hlavac, V. and Boyle, R., Image Processing, Analysis, and Machine Vision, USA, 3rd ed. (Cengage-Learning, 2007).Google Scholar
26.Li, C., Liang, B. and Xu, W. F., “Autonomous Trajectory Planning of Free-Floating Robot for Capturing Space Target,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Beijing, China (2006) pp. 10081013.Google Scholar
27.Chiaverini, S., “Estimate of the two smallest singular values of the jacobian matrix: Application to damped least-squares inverse kinematics,” J. Rob. Syst. 10 (8), 9911008 (1993).CrossRefGoogle Scholar
28.Chiaverini, S. and Siciliano, B., “Review of the damped least-squares inverse kinematics with experiments on an industrial robot manipulator,” IEEE Trans. Control Syst. Technol. 2 (2), 123134 (1994).CrossRefGoogle Scholar
29.Cheng, F. T., Hour, T. L. and Sun, Y. Y., “Study and resolution of singularities for a 6-Dof puma manipulator,” IEEE Trans. Syst., Man, Cybernet.–Part B: Cybernet. 27 (2), 332343 (1997).CrossRefGoogle ScholarPubMed
30.Xu, W. F., Liang, B., Liu, Y., Li, C. and Qiang, W. Y., “A novel approach of the singularity avoidance for puma-type manipulator,” Acta Automat. Sinica 34 (6), 670675 (2008).CrossRefGoogle Scholar
31.Piedboeuf, J.-C., Aghili, F., Doyon, M., Gonthier, Y. and Martin, E., “Dynamic Emulation of Space Robot in One-G Environment Using Hardware-in-the-Loop Simulation,” Proceedings of the 7th ESA Workshop on Advanced Space Technologies for Robotics and Automation, ESTEC, Noordwijk, The Netherlands (2002).Google Scholar
32.Ma, O., Wang, J. G., Misra, S. and Liu, M., “On the validation of Spdm task verification facility,” J. Rob. Syst. 21 (5), 219223 (2004).CrossRefGoogle Scholar
33.Yoshida, K., Nakanishi, H., Ueno, H., Inaba, N., Nishimaki, T. and Oda, M., “Dynamics, control, and impedance matching for robotic capture of a non-cooperative satellite,” RSJ Adv. Rob. 18 (2), 175198 (2004).CrossRefGoogle Scholar
34.Agrawal, S. K., Hirzinger, G., Landzettel, K. and Schwertassek, R., “A New Laboratory Simulator for Study of Motion of Free-floating Robots Relative to Space Targets”, IEEE Trans. Rob. Automat. 12 (4), 627633 (1996).CrossRefGoogle Scholar
35.Xu, W. F., Liang, B., Xu, Y. S., Li, C. and Qiang, W. Y., “A ground experiment system of free-floating space robot for capturing space target,” J. Intell. Rob. Syst. 48 (2), 187208 (2007).CrossRefGoogle Scholar
36.Deng, L. F., Comparison of Image-Based and Position-Based Robot Visual Servoing Methods and Improvements Ph.D. Dissertation (Wateloo, Ontario, Canada: The University of Waterloo, 2003).Google Scholar