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MANIPULATION

A new adaptive fuzzy hybrid force/position control for intelligent robot deburring

Feng-Yih Hsu, Li‐Chen Fu

Year
1999
Citations
5

Abstract

The major control problems for robot deburring mainly arise from the uncertainty of the robot manipulators and complex deburring process. In this paper, a new design of hybrid force/position control of robot manipulators via adaptive fuzzy approach is proposed to solve these problems. The control architecture consists of an outer-loop command generator which can automatically determine the desired robot motion profile and an inner-loop adaptive fuzzy hybrid force/position controller which can achieve the command in real time. To demonstrate the effectiveness of the present work, the approach proposed is applied to the control of a five degree-of-freedom articulated robot manipulator for deburring tasks.

Keywords

Control theory (sociology)Control engineeringFuzzy control systemRobotController (irrigation)Fuzzy logicRobot controlAdaptive controlPosition (finance)Computer science

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