Force/position control of robot manipulators: A fuzzy adaptive control approach

Abstract

In the impedance control scheme in robotic manipulation applications, the interaction force can be indirectly controlled by acting on the manipulator reference position trajectory. However, the reference position depends on the environment parameters, like location and stiffness, which in practice are not exactly known. To deal with those uncertainties, this paper presents a fuzzy adaptive approach which determines the appropriate reference (target) positions to an impedance controller in order to obtain the desired force/position trajectory. Moreover, only an estimate of the environment location is necessary, and so the fuzzy adaptive controller corrects this estimated position based on the force error. The fuzzy adaptive controller is a kind of self organizing controller, which consists of a direct fuzzy controller and an adaptation mechanism, (the fuzzy inverse model) which adjusts the membership functions of the consequent parts of the direct fuzzy controller. To validate the proposed control scheme, simulation results with a two degree of freedom robot manipulator are presented where it is shown a good force/tracking performance with uncertainties on the environment location and on the stiffness value.