Abstract
To achieve the desired dynamic impedance and the smooth chamfer contour, some
adaptive controls and intelligent control schemes are incorporated in the impedance control for
uncertain constrained robot systems. Most of them still result in an uneven chamfer for its
characteristics in nature as the burrs vary highly. In this paper, an intelligent force controller based on
impedance control with a neural network compensator is proposed for the robotic deburring process.
The compensator is used to deal with the various burrs by modifying the input command according to
the contact force and reference position. The performance of the intelligent force controller is
compared with the conventional impedance control. The effectiveness of the proposed approach is
testified by simulation experiments of the robotic deburring process.
Publisher
Trans Tech Publications, Ltd.
Subject
Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science
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