In this paper, we propose a new force control method in contact tasks using a fuzzy model. The contact force that is exerted on the environment by the link is some general function of the displacement, and not necessarily linear. First, a new identification method of a fuzzy model is proposed and then a nonlinear function of contact force is modeled by a proposed identification algorithm of a fuzzy model. The system stability for the proposed force control method is proved theoretically using a Lyapunov direct method. Finally it is shown that the proposed method is useful for the force control of manipulator by simulation. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Park, C. W., Lee, J., Park, M., & Park, M. (2005). Fuzzy model based environmental stiffness identification in stable force control of a robot manipulator. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3558 LNAI, pp. 240–251). Springer Verlag. https://doi.org/10.1007/11526018_24
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