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State space estimation method for the identification of an industrial robot arm

Brunot, Mathieu and Janot, Alexandre and Carrillo, Francisco Javier State space estimation method for the identification of an industrial robot arm. (2017) In: IFAC World Congress 2017, 9 July 2017 - 14 July 2017 (Toulouse, France).

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Abstract

In this paper, we study the identification of industrial robot dynamic models. Since the models are linear with respect to the parameters, the usual identification technique is based on the Least-Squares method. That requires a careful preprocessing of the data to obtain consistent estimates. In this paper, we carefully detail this process and propose a new procedure based on Kalman filtering and fixed interval smoothing. This new technique is compared to usual one with experimental data considering an industrial robot arm. The obtained results show that the proposed technique is a credible alternative, especially if the system bandwidth is unknown.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Elsevier editor. The definitive version is available at : https://www.journals.elsevier.com/ifac-papersonline/
HAL Id:hal-01635635
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Office National d'Etudes et Recherches Aérospatiales - ONERA (FRANCE)
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Deposited On:14 Sep 2017 09:20

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