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Self-learning control for servo drives in forming technologies

Selbstlernende Regelung für Servoantriebe in Umformtechnologien
: Hoffmann, Michael; Husek, P.; Koriath, Hans-Joachim; Kucera, V.; Priber, Ulrich


Brezina, Tomas ; Brno University of Technology:
Mechatronics 2013: Recent Technological and Scientific Advances : October 7-9, 2013 in Brno, Czech Republic
Cham: Springer International Publishing, 2014
ISBN: 978-3-319-02293-2 (Print)
ISBN: 978-3-319-02294-9 (Online)
International Conference Mechatronics <10, 2013, Brno>
Conference Paper
Fraunhofer IWU ()
self-learning control; forming technology; quality

At present, wrinkles, fissures, folds, scratches, etc. are checked visually. This may result in doubtful quality of final product, unnecessary waste, etc. This paper describes a comprehensive approach to increase the quality and efficiency of the metal forming processes by introducing a self-learning process control solution. Energy control, intelligent dies (with multiple of sensors), open architecture motion control systems, adaptronic force oscillation, are included.