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Extended Kalman Filter Applied to Industrial Manipulators

Patrik Axelsson, Mikael Norrlöf, Erik Wernholt, Fredrik Gustafsson

Year
2010
Citations
3

Abstract

This paper summarizes previous work on tool position estimation on industrial manipulators, and emphasize the problems that must be taken care of in order to get a satisfied result. The acceleration of the robot tool, measured by an accelerometer, together with measurements of motor angles are used. The states are estimated with an extended Kalman filter. A method for tuning the covariance matrices for the noise, used in the observer, is suggested. The work has been focused on a robot with two degrees of freedom.

Keywords

Kalman filterControl theory (sociology)Position (finance)Industrial robotControl engineeringWork (physics)Computer scienceRobot manipulatorEngineeringArtificial intelligence

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