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Force/position control self-tuned to unknown surface slopes using motion variables

Published online by Cambridge University Press:  01 November 2008

Zoe Doulgeri*
Affiliation:
Department of Electrical and Computer Engneering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece
Yiannis Karayiannidis
Affiliation:
Department of Electrical and Computer Engneering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece
*
*Corresponding author. E-mail: [email protected]

Summary

This work considers the problem of force/position regulation for a robotic finger in compliant contact with an unknown curved surface resulting in uncertain force and position control subspaces. The proposed controller is an adaptive control scheme of a simple structure that achieves the desired target by the on-line tuning of the position and force control actions to their corresponding actual subspaces at the desired point using motion state feedback. The local asymptotic stability of the system equilibrium point is proved and an estimate of the region of attraction is given. The controller performance is illustrated by a simulation example.

Type
Article
Copyright
Copyright © Cambridge University Press 2008

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References

1.Raibert, M. H. and Craig, J. J., “Hybrid position/force control of manipulators,” ASME J. Syst. Meas. Control 103, 126133 (1981).CrossRefGoogle Scholar
2.Chiaverini, S. and Sciavicco, L., “Force/position regulation of compliant robot manipulators,” IEEE Trans. Robot. Autom. 9 (4), 361373 (1993).CrossRefGoogle Scholar
3.Cheah, C. C., Kawamura, S. and Arimoto, S., “Stability of hybrid position and force control for robotic kinematics and dynamics uncertainties,” Automatica 39, 847855 (2003).CrossRefGoogle Scholar
4.Zhao, Y. and Cheah, C. C., “Hybrid Vision-force Control for Robot with Uncertainties,” Proceedings of the IEEE 2004 International Conference on Robotics and Automation, New Orleans, (2004) pp. 261266.Google Scholar
5.Yoshikawa, T. and Sudou, A., “Dynamic hybrid position/force control of robot manipulators—On-line estimation of unknown constraint,” IEEE Trans. Robot. Autom. 9 (2), 220226 (1993).Google Scholar
6.Xiao, D., Ghosh, B., Xi, N. and Tarn, T., “Sensor-based hybrid position/force control of a robot manipulator in an uncalibrated environment,” IEEE Trans. Control Syst. Technol. 8 (4), 635645 (2000).Google Scholar
7.Namvar, M. and Aghili, F., “Adaptive force-motion control of coordinated robot interacting with geometrically unknown environments,” IEEE Trans. Robot. Autom. 21 (4), 678694 (2005).CrossRefGoogle Scholar
8.Namvar, M. and Aghili, F., “Adaptive Force Control of Robots in Presence of Uncertainty in Environment,” Proceedings of the 2006 American Control Conference, Minneaopolis, (Jun. 2006) pp. 32533258.Google Scholar
9.Olsson, T., Bengtsson, J., Johansson, R. and Malm, H., “Force Control and Visual Servoing using Planar Surface Identification,” Proceedings of the IEEE 2002 International Conference on Robotics and Automation, Washington DC, (May 2002) pp. 42114215.Google Scholar
10.Doulgeri, Z. and Karayiannidis, Y., “Performance analysis of a Soft Tip Robotic Finger Controlled by a Parallel Force/Position Regulator under Kinematic ncertainties,” IET Control Theory and Applications 1 (1), pp. 273280, 2007.Google Scholar
11.Doulgeri, Z. and Karayiannidis, Y., “Force position control for a robot finger with a soft tip and kinematic uncertainties,” Robot. Auton. Syst. 55 (4), 328336 (2007).Google Scholar
12.Karayiannidis, Y. and Doulgeri, Z., “An Adaptive Law for Slope Identification and Force Position Regulation using Motion Variables,” Proceedings of the IEEE 2006 International Conference on Robotics and Automation, Orlando, (May 2006) pp. 35383543.Google Scholar
13.Khalil, H., Nonlinear Systems, 3rd ed. (New Jersey, Prentice Hall, 2002).Google Scholar
14.Desoer, C. A. and Vidyasagar, M., Feedback Systems: input-output properties, (Academic Press, New York, 1975).Google Scholar