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ON LINE IDENTIFICATION AND COMPENSATION OF FRICTION INFLUENCE OF FEED DRIVES OF MACHINE TOOLS
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Author(s) |
Thomas Frenz; Dierk Schri:ider |
Abstract |
In this paper a method called Stable Local Neuro-Identification is used for on line identification of unknown slowly time variant nonlinearities. The objective is to compensate the influence of this nonlinearity at any time. The development of a special hardware for real time implementation of the identification algorithm is shown. An application example shows the on line identification of the friction characteristic of a feed drive of a machine tool and the
immediate compensation of the friction influence. |
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Filename: | Unnamed file |
Filesize: | 604.8 KB |
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Type |
Members Only |
Date |
Last modified 2016-03-14 by System |
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