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Estimation of the External Force for a Co-Manipulation Task Using the Drive Chain Robot
Abstract:The aim of this paper is to show that the observation of the external effort and the sensor-less control of a system is limited by the mechanical system. First, the model of a one-joint robot with a prismatic joint is presented. Based on this model, two different procedures were performed in order to identify the mechanical parameters of the system and observe the external effort applied on it. Experiments have proven that the accuracy of the force observer, based on the DC motor current, is limited by the mechanics of the robot. The sensor-less control will be limited by the accuracy in estimation of the mechanical parameters and by the maximum static friction force, that is the minimum force which can be observed in this case. The consequence of this limitation is that industrial robots without specific design are not well adapted to perform sensor-less precision tasks. Finally, an efficient control law is presented for high effort applications.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1474952Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 410
 K. Ohnishi, M. Shibata, T. Murakami, and I. Paper, “Motion control for advanced mechatronics,” IEEE/ASME Trans. on Mechatronics, vol. 1, no. 1, pp. 56–67, 1996.
 X. Li, A. Djordjevich, and P. K. Venuvinod, “Current-sensor-based feed cutting force intelligent estimation and tool wear condition monitoring,” IEEE Trans.on Industrial Electronics, vol. 47, no. 3, pp. 697–702, 2000.
 C. Qi, F. Gao, Q. Sun, X. Chen, Y. Xu, and X. Zhao, “A foot force sensing approach for a legged walking robot using the motor current,” IEEE Conf. on Robotics and Biomimetics, pp. 1078–1083, 2016.
 Y. Kambara and K. Ohnishi, “A design method of observers for bilateral control using dc brushed motor,” IEEE Industrial Electronics Society, pp. 938–943, 2016.
 F. Gosselin, C. Bidard, and J. Brisset, “Design of a High Fidelity Haptic Device for Telesurgery,” IEEE Int. Conf. on Robotics and Automation, no. April, pp. 205–210, 2005.
 C. Canudas de Wit, H. Olsson, K. Astrom, and P. Lischinsky, “A new model for control of systems with friction,” IEEE Trans. on Automatic Control, vol. 40, no. 3, pp. 419–425, 1995.
 B. Armstrong-Helouvry, “Stick-slip arising from Stribeck friction,” IEEE Int. Conf. on Robotics and Automation, vol. 2, pp. 1377–1382, 1990.
 D. P. Hess and A. Soom, “Friction at a Lubricated Line Contact Operating at Oscillating Sliding Velocities,” J. of Tribology, vol. 112, no. 1, p. 147, 1990.
 L. C. Bo and D. Pavelescu, “The friction-speed relation and its influence on the critical velocity of stick-slip motion,” Wear, vol. 82, pp. 277–289, 1982.
 J. W. Gilbart and G. C. Winston, “Adaptive compensation for an optical tracking telescope,” Automatica, vol. 10, no. 2, pp. 125–131, 1974.
 C. D. Walrath, “Adaptive bearing friction compensation based on recent knowledge of dynamic friction,” Automatica, vol. 20, no. 6, pp. 717–727, 1984.
 L. Roveda, G. Pallucca, N. Pedrocchi, F. Braghin, and L. Molinari Tosatti, “Iterative Learning Procedure with Reinforcement for High-Accuracy Force Tracking in Robotized Tasks,” IEEE Trans. on Industrial Informatics, vol. 3203, no. c, pp. 1–10, 2017.
 P. Khosla and T. Kanade, “Parameter identification of robot dynamics,” IEEE Conf. on Decision and Control, pp. 1754–1760, 1985.
 M. Gautier, “Numerical calculation of the base inertial parameters of robots,” J. of Robotic Systems, vol. 8, no. 4, pp. 485–506, 1991.
 W. Khalil, M. Gautier, and P. Lemoine, “Identification of the payload inertial parameters of industrial manipulators,” IEEE Int. Conf. on Robotics and Automation, pp. 4943 – 4948, 2007.
 M. Gautier and W. Khalil, “Exciting trajectories for the identification of base inertial parameters of robots,” IEEE Conf. on Decision and Control, no. 4, pp. 2–7, 1991.
 M. Gautier, A. Jubien, A. Janot, and P. P. Robet, “Dynamic Identification of flexible joint manipulators with an efficient closed loop output error method based on motor torque output data,” IEEE Int. Conf. on Robotics and Automation, pp. 2949–2955, 2013.
 P. Hamon, M. Gautier, P. Garrec, and A. Janot, “Dynamic Modeling and Identification of Joint Drive with Load-Dependent Friction Model,” in Int. Conf. on Advanced Intelligent Mechatronics, 2010, pp. 902–907.
 D. Yashiro, “Fast Stiffness Estimation using Acceleration-based Impedance Control and its Application to Bilateral Control,” in IFAC World Congress, 2017, pp. 12 565–12 570.
 K. Seki, S. Fujihara, and M. Iwasaki, “Improvement of Force Transmission Performance Considering Nonlinear Friction in Bilateral Control Systems,” in IFAC World Congress, 2017, pp. 12 577–12 582.
 N. Hogan, “Impedance Control: An Approach to Manipulation,” J. of Dynamic Systems, Measurement, and Control, vol. 107, no. March, pp. 304–313, 1985.
 ——, “Stable execution of contact tasks using impedance control,” IEEE Int. Conf. on Robotics and Automation, vol. 4, pp. 1047–1054, 1987.
 S. Devie, P.-p. Robet, Y. Aoustin, and M. Gautier, “Impedance control using a cascaded loop force control .” IEEE Robotics & Automation letter, pp. 1–7, 2018.
 S. Devie, P. P. Robet, Y. Aoustin, M. Gautier, and A. Jubien, “Accurate force control and co-manipulation control using hybrid external command,” IFAC World Congress, pp. 2271–2276, 2017.
 S. Devie, P.-p. Robet, Y. Aoustin, M. Gautier, and A. Jubien, “Optimized force and co-manipulation control using stiffness of force sensor with unknow environnement,” Robot Motion and Control, 2017. RoMoCo’17, pp. 99–104, 2017.
 W. Khalil and E. Dombre, “Modeling, Identification and Control of Robots,” Applied Mechanics Reviews, vol. 56, no. 3, p. 500, 2004.