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   ON LINE IDENTIFICATION AND COMPENSATION OF FRICTION INFLUENCE OF FEED DRIVES OF MACHINE TOOLS   [View] 
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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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Filesize:604.8 KB
 Type   Members Only 
 Date   Last modified 2016-03-14 by System