Adaptive Impedance Control for Unknown Time-Varying Environment Position and Stiffness
Authors: Norsinnira Zainul Azlan, Hiroshi Yamaura
Abstract:
This study is concerned with a new adaptive impedance control strategy to compensate for unknown time-varying environment stiffness and position. The uncertainties are expressed by Function Approximation Technique (FAT), which allows the update laws to be derived easily using Lyapunov stability theory. Computer simulation results are presented to validate the effectiveness of the proposed strategy.
Keywords: Adaptive Impedance Control, Function Approximation Technique (FAT), unknown time-varying environment position and stiffness.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1328606
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[1] H. Seraji and R. Colbaugh, "Force tracking in impedance control," in Proc. of the IEEE Int. Conf. on Robotics Automation, 1993, pp. 499-506.
[2] 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.
[3] C. S. Tzafestas, N. K. M-Sirdi and N. Manamani, "Adaptive impedance control applied to a pneumatic legged robot," Journal of Intelligent and Robotic Systems, vol. 20, pp. 105-129, 1997.
[4] 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.
[5] 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.
[6] 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.
[7] N. Z. Azlan and H. Yamaura, "Modeling and control of compact anthropomorphic robot finger," in Proc. IEEE Int. Conf. on Modelling, Identification and Control, Shanghai, China, 2011, pp. 128-133.