Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-25T09:55:59.790Z Has data issue: false hasContentIssue false

Dynamic Manipulability Analysis of Multi-Arm Space Robot

Published online by Cambridge University Press:  10 February 2020

Yiqun Zhou
Affiliation:
School of Astronautics, Northwestern Polytechnical University, 710072, Xi’an, China National Key Laboratory of Aerospace Flight Dynamics, 710072, Xi’an, China
Jianjun Luo
Affiliation:
School of Astronautics, Northwestern Polytechnical University, 710072, Xi’an, China National Key Laboratory of Aerospace Flight Dynamics, 710072, Xi’an, China
Mingming Wang*
Affiliation:
National Key Laboratory of Aerospace Flight Dynamics, 710072, Xi’an, China Qingdao Research Institute of Northwestern Polytechnical University, 266200, Qingdao, China
*
*Corresponding author. E-mail: [email protected]

Summary

The dynamic manipulability of a manipulator refers to the capacity to generate accelerations given the joint torques, which is an important indicator for motion planning and control. In this paper, the dynamic manipulability analysis is extended to the multi-arm space robot, and further to the closed-loop system composed of the space robot and the captured target. According to the dynamic equations, the relation between the joint torques and the end-effector accelerations in the open-loop space robot and that between the joint torques and the target accelerations in the closed-loop system are derived. On this basis, the dynamic manipulability factor and dynamic manipulability ellipsoid are proposed as two tools for the dynamic manipulability measure, where the effects of the bias acceleration are considered. The influences of dynamic parameters, link lengths, joint variables, and velocities on the dynamic manipulability measure are mainly studied.

Type
Articles
Copyright
Copyright © Cambridge University Press 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Doetsch, K., “Canada’s role on space station,” Acta Astronaut. 57(2), 661675 (2005).CrossRefGoogle ScholarPubMed
Hirzinger, G., Landzettel, K. L. and Heindl, J., “ROTEX: Space telerobotic flight experiment,” Telemanipulator Technol. Space Telerobot. 2057, 5172 (1993).CrossRefGoogle Scholar
Oda, M., “Ground-space bilateral teleoperation of ETS-VII robot arm by direct coupling under 7-s time delay condition,” IEEE Trans. Robot. Autom. 20(3), 499511 (2004).Google Scholar
Ambrose, R. O., Aldridge, H., Askew, R. S., Burridge, R. R., Bluethmann, W., Diftler, M., Lovchik, C., Magruder, D. and Rehnmark, F., “Robonaut: NASA’s space humanoid,” IEEE Intell. Syst. Appl. 15(4), 5763 (2000).CrossRefGoogle Scholar
Tzvetkova, G. V., “Robonaut 2: Mission, technologies, perspectives,” J. Theor. Appl. Mech. 44(1), 97102 (2014).CrossRefGoogle Scholar
Rouleau, G., Rekleitis, I., L’Archeveque, R., Martin, E., Parsa, K. and Dupuis, E., “Autonomous capture of a tumbling satellite,” J. Field Robot. 24(4), 275296 (2007).Google Scholar
Abad, A. F., Wei, Z., Ma, O. and Pham, K., “Optimal control of space robots for capturing a tumbling object with uncertainties,” J. Guidance Cont. Dyn. 37(6), 20142017 (2014).CrossRefGoogle Scholar
Yoshikawa, T., “Manipulability of robotic mechanisms,” Int. J. Robot. Res. 4(2), 39 (1985).CrossRefGoogle Scholar
Vahrenkamp, N., Asfour, T., Metta, G., Sandini, G. and Dillmann, R., “Manipulability analysis,” IEEE-RAS International Conference on Humanoid Robots (2012) pp. 568573.Google Scholar
Vahrenkamp, N. and Asfour, T., “Representing the robot’s workspace through constrained manipulability analysis,” Auton. Robots 38 (1), 1730 (2015).CrossRefGoogle Scholar
Okada, T. and Tahara, K., “Development of a two-link planar manipulator with continuously variable transmission mechanism,” IEEE/ASME International Conference on Advanced Intelligent Mechatronics (2014) pp. 617622.Google Scholar
Tanaka, Y., Nishikawa, K., Yamada, N. and Tsuji, T., “Analysis of operational comfort in manual tasks using human force manipulability measure,” IEEE Trans. Haptics 8(1), 819 (2015).CrossRefGoogle ScholarPubMed
Wang, M., Luo, J. and Walter, U., “Trajectory planning of free-floating space robot using Particle Swarm Optimization (PSO),” Acta Astronaut. 112, 7788 (2015).CrossRefGoogle Scholar
Wang, M., Luo, J., Fang, J. and Yuan, J., “Optimal trajectory planning of free-floating space manipulator using differential evolution algorithm,” Adv. Space Res. 61, 15251536 (2018).CrossRefGoogle Scholar
Wang, M., Luo, J., Yuan, J. and Walter, U., “Coordinated trajectory planning of dual-arm space robot using constrained particle swarm optimization,” Acta Astronaut. 146, 259272 (2018).CrossRefGoogle Scholar
Chen, X. and Qin, S., “Motion planning for dual-arm space robot towards capturing target satellite and keeping the base inertially fixed,” IEEE Access 6, 2629226306 (2018).CrossRefGoogle Scholar
Yan, L., Xu, W., Hu, Z. and Liang, B., “Virtual-base modeling and coordinated control of a dual-arm space robot for target capturing and manipulation,” Multibody Syst. Dyn. 45(4), 431455 (2019).CrossRefGoogle Scholar
Yan, L., Yuan, H., Xu, W., Hu, Z. and Liang, B., “Generalized relative jacobian matrix of space robot for dual-arm coordinated capture,” J. Guidance Cont. Dyn. 41(5), 12021208 (2018).CrossRefGoogle Scholar
Zhang, B., Liang, B. and Wang, X., “Target Manipulation Ability of Space Robot in Post-capture Phase,” 27th Chinese Control and Decision Conference (CCDC) (2015) pp. 25962601.Google Scholar
Zhang, B., Liang, B., Wang, X., Li, G., Chen, Z. and Zhu, X., “Manipulability measure of dual-arm space robot and its application to design an optimal configuration,” Acta Astronaut. 128, 322329 (2016).CrossRefGoogle Scholar
Yoshikawa, T., “Dynamic manipulability of robot manipulators,” J. Robot. Syst. 2(1), 113124 (1985).Google Scholar
Chiacchio, P., “A new dynamic manipulability ellipsoid for redundant manipulators,” Robotica 18(7), 381387 (2000).CrossRefGoogle Scholar
Rosenstein, M. T. and Grupen, R. A., “Velocity-Dependent Dynamic Manipulability,” IEEE International Conference on Robotics & Automation, (2002) pp. 24242429.Google Scholar
Chiacchio, P., Chiaverini, S., Sciavicco, L. and Siciliano, B., “Global task space manipulability ellipsoids for multiple-arm systems,” IEEE Trans. Robot. Autom. 7(5), 678685 (1991).CrossRefGoogle Scholar
Lee, J. and Shim, H., “On the Dynamic Manipulability of Cooperating Multiple Arm Robot Systems,” IEEE/RSJ International Conference on Intelligent Robots & Systems (2004) pp. 20872092.Google Scholar
Yokokohji, Y., Martin, J. S. and Fujiwara, M., “Dynamic manipulability of multifingered grasping,” IEEE Trans. Robot. 25(4), 947954 (2009).CrossRefGoogle Scholar
Cotton, S., Fraisse, P. and Murray, A., “On the Manipulability of the Center of Mass of Humanoid Robots: Application to Design,” ASME International Design Engineering Technical Conferences & Computers & Information in Engineering Conference (2010) pp. 12591267.Google Scholar
Gu, Y., Lee, C. and Yao, B., “Feasible Center of Mass Dynamic Manipulability of Humanoid Robots,” IEEE International Conference on Robotics and Automation (2015) pp. 50825087.Google Scholar
Azad, M., Babic, J. and Mistry, M., “Dynamic Manipulability of the Center of Mass: A Tool to Study, Analyse and Measure Physical Ability of Robots,” IEEE International Conference on Robotics and Automation (ICRA) (2017) pp. 34843490.Google Scholar
Minami, M., Li, X., Matsuno, T. and Yanou, A., “Dynamic reconfiguration manipulability for redundant manipulators,” J. Robot. Soc. Japan 34(4), 272279 (2016).CrossRefGoogle Scholar
Shen, K., Li, X., Tian, H., Izawa, D., Minami, M. and Matsuno, T., “Application and Analyses of Dynamic Reconfiguration Manipulability Shape Index into Humanoid Biped Walking,” IEEE International Conference on Robotics and Biomimetics (2016) pp. 14361441.Google Scholar
Azad, M., Babič, J. and Mistry, M., “Effects of the weighting matrix on dynamic manipulability of robots,” Auton. Robots 43(7), 18671879 (2019).CrossRefGoogle Scholar
Featherstone, R., “A beginner’s guide to 6-D vectors (Part 1),” Robot. Autom. Mag. IEEE 17(3), 8394 (2010).CrossRefGoogle Scholar
Featherstone, R., “A beginner’s guide to 6-D vectors (part 2),” IEEE Robot. & Autom. Mag. 17(4), 8899 (2010).CrossRefGoogle Scholar