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Adaptive Impedance Control for Unknown Non-Flat Environment
Authors: Norsinnira Zainul Azlan, Hiroshi Yamaura
Abstract:
This paper presents a new adaptive impedance control strategy, based on Function Approximation Technique (FAT) to compensate for unknown non-flat environment shape or time-varying environment location. The target impedance in the force controllable direction is modified by incorporating adaptive compensators and the uncertainties are represented by FAT, allowing the update law to be derived easily. The force error feedback is utilized in the estimation and the accurate knowledge of the environment parameters are not required by the algorithm. It is shown mathematically that the stability of the controller is guaranteed based on Lyapunov theory. Simulation results presented to demonstrate the validity of the proposed controller.Keywords: Adaptive impedance control, Function Approximation Technique (FAT), impedance control, unknown environment position.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1061753
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[1] M. H. Raibert and J. J. Craig, "Hybrid position/ force control of manipulators," Journal of Dynamic Systems, Measurements and Control, vol 103, pp. 126-133, 1981.
[2] N. Hogan, "Impedance control: An approach to manipulation Parts I, II and III," Journal of Dynamic Systems, Measurements and Control, vol 107, pp. 1-24, 1985.
[3] S. Jung, T. C. Hsia and R. G. Bonitz, "Force tracking impedance control of robot manipulators under unknown environment," IEEE Trans. on Control System Technology, vol. 12, pp. 474-483, May 2004.
[4] H. Seraji and R. Colbaugh, "Force tracking in impedance control," in Proc. of the IEEE Int. Conf. on Robotics Automation, 1993, pp. 499-506.
[5] K. Lee and M. Buss, "Force tracking impedance control with variable target stiffness," in Proc. of the Int. Federation of Automatic Control, Seoul, Korea, 2008, pp. 6751- 6756.
[6] A. C. Huang and M. C. Chien, Adaptive Control of Robot Manipulators: A Unified Regressor-Free Approach. Singapore: World Scientific Publishing Co. Pte. Ltd., 2010.
[7] Norsinnira Zainul Azlan and Hiroshi Yamaura, "FAT based adaptive impedance control for unknown environment position," in Proc. of Int. Conf. on Control, Automation, Robotics and Vision, Kuala Lumpur, Malaysia, 2012, pp. 1150-1155.
[8] Y. Li, S. S. Ge, C. Yang, X. Li and K. P. Tee, "Model-free impedance control for safe human-robot interaction," in Proc. of IEEE Int. Conf. on Robotics and Automation, Shanghai, China, 2011, pp. 6021-6026.
[9] N. Z. Azlan and H. Yamaura, "Modeling and control of compact anthropomorphic robot finger," in Proc. of IEEE Int. Conf. on Modelling, Identification and Control, Shanghai, China, 2011, pp. 128- 133.