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Theses

Application des réseaux de neurones à l'identification d'un axe de machine-outil

Abstract : The machining-tools hâve been studied according to the évolution of the manufacturing process requirements. Nowadays, new construction materials and structures are being evaluated as well as the optimisation of the numeric control. This thesis tries to answer whether the use of the Artificial Neural Networks to compensate the résonances and to adapt itself to the variations in the machine is feasible. To be accurate, we have studied the modelling of the axis, mechanical and electrical parts included, with its imperfections and the application of the Artificial Neural Networks to identify those nonlinear effects. We hâve also made the comparison with the traditional linear identification methods.
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https://tel.archives-ouvertes.fr/tel-00493012
Contributor : Sylvie Garcia <>
Submitted on : Thursday, June 17, 2010 - 4:05:42 PM
Last modification on : Thursday, November 19, 2020 - 1:00:27 PM
Long-term archiving on: : Monday, September 20, 2010 - 5:35:15 PM

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  • HAL Id : tel-00493012, version 1

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Eñaut Muxika Olasagasti. Application des réseaux de neurones à l'identification d'un axe de machine-outil. Sciences de l'ingénieur [physics]. Institut National Polytechnique de Grenoble - INPG, 2002. Français. ⟨tel-00493012⟩

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