Multivariable Frequency Response Functions Estimation for Industrial Robots

T. Hardeman; Ronald G.K.M. Aarts; Jan B. Jonker

Multivariable Frequency Response Functions Estimation for Industrial Robots

T. Hardeman, Ronald G.K.M. Aarts, Jan B. Jonker

Faculty of Engineering Technology

Research output: Contribution to conference › Poster › Other research output

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Abstract

The accuracy of industrial robots limits its applicability for high demanding processes, like robotised laser welding. We are working on a nonlinear exible model of the robot manipulator to predict these inaccuracies. This poster presents the experimental results on estimating the Multivariable Frequency Response Functions (MFRF) of the St¨aubli RX90 robot depicted in gure 1. Future work will be the parametrisation of the frequency response functions based on physical models.

Original language	Undefined
Pages	-
Publication status	Published - 21 Nov 2005
Event	8th Engineering Mechanics Symposium, EM 2005 - CongresHotel "de Werelt" Lunteren, Lunteren, Netherlands Duration: 21 Nov 2005 → 22 Nov 2005 Conference number: 8

Conference

Conference	8th Engineering Mechanics Symposium, EM 2005
Abbreviated title	EM
Country/Territory	Netherlands
City	Lunteren
Period	21/11/05 → 22/11/05

Keywords

IR-55456
METIS-224972

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wap20051121e

Cite this

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title = "Multivariable Frequency Response Functions Estimation for Industrial Robots",

abstract = "The accuracy of industrial robots limits its applicability for high demanding processes, like robotised laser welding. We are working on a nonlinear exible model of the robot manipulator to predict these inaccuracies. This poster presents the experimental results on estimating the Multivariable Frequency Response Functions (MFRF) of the St¨aubli RX90 robot depicted in gure 1. Future work will be the parametrisation of the frequency response functions based on physical models.",

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AU - Aarts, Ronald G.K.M.

AU - Jonker, Jan B.

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Y1 - 2005/11/21

N2 - The accuracy of industrial robots limits its applicability for high demanding processes, like robotised laser welding. We are working on a nonlinear exible model of the robot manipulator to predict these inaccuracies. This poster presents the experimental results on estimating the Multivariable Frequency Response Functions (MFRF) of the St¨aubli RX90 robot depicted in gure 1. Future work will be the parametrisation of the frequency response functions based on physical models.

AB - The accuracy of industrial robots limits its applicability for high demanding processes, like robotised laser welding. We are working on a nonlinear exible model of the robot manipulator to predict these inaccuracies. This poster presents the experimental results on estimating the Multivariable Frequency Response Functions (MFRF) of the St¨aubli RX90 robot depicted in gure 1. Future work will be the parametrisation of the frequency response functions based on physical models.

KW - IR-55456

KW - METIS-224972

M3 - Poster

SP - -

Y2 - 21 November 2005 through 22 November 2005

ER -