Abstract
In this study, we propose a technical method — the so-called dynamic superposition method — for separation of dynamic terms of robot manipulators. We lay over a set of dynamic responses from sinusoidal joint trajectories of different cyclic frequencies, so as to disassemble pure inertial, gravitational and/or frictional torques from the full dynamics forces. The benefits are: first to help us identify dynamic parameters in a simpler sequential manner with better reliability, and second to enable us to understand the in-depth dynamic nature of a specific robot system through dissection. Experimental results confirm the effectiveness of the proposed method.
Similar content being viewed by others
References
N. Ulrich and V. Kumar, Passive mechanical gravity compensation for robot manipulators, Proc. of IEEE International Conference on Robotics and Automation (1991) 1536–1541
A. De Luca, B. Siciliano and L. Zollo, PD control with online gravity compensation for robots with elastic joints: Theory and experiments, Automatica, 41 (2005) 1809–1819.
N. Hogan, Impedance control: An approach to manipulation, ASME Journal of Dynamic Systems, Measurement, and Control, 107 (1) (1985) 8–16.
F. Aghili, Impedance control of manipulators carrying a heavy payload, Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (2009) 3410–3415
A. C. Bittencourt and S. Gunnarsson, Static friction in a robot joint—modeling and identification of load and temperature effects, Journal of Dynamic Systems, Measurement, and Control, 134 (5) (2012) 051013-051013(10).
L. L. Tien, A. Albu-Schaffer, A. De Luca and G. Hirzinger, Friction observer and compensation for control of robots with joint torque measurement, Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (2008) 3789–3795
P. Tomei, Robust adaptive friction compensation for tracking control of robot manipulators, IEEE Transactions on Automatic Control, 45 (2000) 2164–2169.
F. Reyes and R. Kelly, Experimental evaluation of identification schemes on a direct drive robot, Robotica, 15 (5) (1997) 563–571.
B. Siciliano and O. Khatib, Springer handbook of robotics, Springer Science & Business Media (2008).
M. M. Olsen, J. Swevers and W. Verdonck, Maximum likelihood identification of a dynamic robot model: Implementation issues, The international Journal of Robotics Research, 21 (2) (2002) 89–96.
J. Vantilt, E. Aertbelien, F. De Groote and J. De Schutter, Optimal excitation and identification of the dynamic model of robotic systems with compliant actuators, Proc. of IEEE International Conference on Robotics and Automation (2015) 2117–2124
M. Gautier and S. Briot, Dynamic parameter identification of a 6 dof industrial robot using power model, Proc. of IEEE International Conference on Robotics and Automation (2013) 2914–2920
J. Jin and N. Gans, Parameter identification for industrial robots with a fast and robust trajectory design approach, Robotics and Computer-Integrated Manufacturing, 31 (2015) 21–29.
S. Boyd, L. El Ghaoui, E. Feron and V. Balakrishnan, Linear matrix inequalities in system and control theory, SIAM (1994).
B. Armstrong, O. Khatib and J. Burdick, The explicit dynamic model and inertial parameters of the puma 560 arm, Proc. of IEEE International Conference on Robotics and Automation (1986) 510–518
Author information
Authors and Affiliations
Corresponding authors
Additional information
Recommended by Associate Editor Kyoungchul Kong
Youngwoo Choi received his bachelor’s degree from Catholic University of Daegu in 2015 and is currently studying his master’s degree at Korea University. His research interests are kinematic/ dynamic analysis.
Dawoon Jung received his B.S. degree from Korea University in 2014. From 2014, he is on Master. Ph.D. joint Course at Korea University. His research interests are kinematic/dynamic analysis and dynamic parameter identification of industrial robot.
Joono Cheong received B.S., M.S. and Ph.D. from Pohang University of Science and Technology (POSTECH) in 1995, 1997 and 2003, respectively. In 2003, he was a Researcher with the Institute of Precision Machine and Design, Seoul National University, Seoul. From 2003 to 2005, he was a Postdoc Researcher of the Research Laboratory of Electronics at Massachusetts Institute of Technology, Cambridge, MA. Since 2005, he has been with the Department of Control and Instrumentation Engineering, Korea University, Sejong, where he is current a Professor. He is the Director of the Laboratory for Advanced Robotics at Korea University. His research interests are robotic manipulation, grasping, and mechanical systems control.
Hyunmin Do received his B.S. and M.S. and Ph.D. degrees in the School of Electrical Engineering from Seoul National University, Seoul, Korea, in 1997, 1999, and 2004, respectively. From 2004 to 2007, he was with the Hyundai Mobis and the Hyundai Motor Company, Korea, where he was a Senior Research Engineer. From 2007 to 2010, he was with the National Institute of Advanced Industrial Science and Technology (AIST), Japan, where he was a Postdoctoral Research Fellow. In 2010, he joined the Korea Institute of Machinery and Materials (KIMM), where he is a Principal Researcher of Department of Robotics and Mechatronics. His research interests are intelligent control of robotic system, robot safety and adaptive and learning control.
Jin-Ho Kyung received his B.S. and M.S. degrees in Mechanical Engineering from Korea Aerospace University and KAIST in 1985 and 1988, respectively. He was awarded his Ph.D. degree from KAIST in 2003. Dr. Kyung is currently a Principal Researcher at Dept. of Robotics & Intelligent Machinery at Korea Institute of Machinery and Materials, and he has served as a Head of Robot team. Dr. Kyung’s research interests include the design and control of dual arm systems, and manipulation technology for human-robot cooperation.
Rights and permissions
About this article
Cite this article
Choi, Y., Jung, D., Cheong, J. et al. Dynamics superposition method for separating torque components of robot manipulators using sinusoidal trajectories. J Mech Sci Technol 31, 5505–5513 (2017). https://doi.org/10.1007/s12206-017-1045-9
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12206-017-1045-9