Abstract
In this paper, the hybrid position and force control problem is studied for a class of planar two-link constrained flexible link manipulators. An adaptive fuzzy genetic learning algorithm is proposed to update the parameters of the controller, and to control the tip position and the contact force so as to enhance the control precision and improve the robustness of the systems. Simulation results show that this newly presented control scheme is of very good performances.
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