Abstract
In this chapter we are going to show an application example for the method of a systematic intelligent observer design presented in chapter 5. For a feed drive of a tool machine with unknown nonlinear friction a linear model is derived and a nonlinear observer is designed for the identification of the friction characteristic. The objective is to learn and compensate the sliding-friction of a feed drive of a lathe. Further information can be found in [1, 2, 3, 4, 5].
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References
Frenz, Th.: Stabile Neuronale Online Identinkation und Kompensation statischerNichtlinearitäten am Beispiel von Werkzeugmaschinenvorschubantrieben. Dissertation, TU München, 1998.
Frenz, Th. and Schröder, D.: Learning Unknown Nonlinearities Using a Discrete Observer in Combination with Neural Networks. IEEE-IAS Annual Conference, Orlando, 1995, pp. 1800–1806.
Frenz, Th. and Schröder, D.: Nonlinear Modelling of a Feed Drive of a Lathe and Compensation of Friction Inñuence. Proceedings of IFAC-Workshop Motion Control. München, 1995, pp. 331 – 338.
Frenz, Th. und Schröder, D.: Nichtlineare Modellbildung elektrischer Antriebsstränge. VDI-Bericht 1220: Schwingungen in Antrieben. VDI-Verlag Düsseldorf, 1995, pp. 335 – 346.
Frenz, Th. und Schröder, D.: On Line Identification and Compensation of Friction Inñuence of FeedDrives of Machine Tools. Proc. Seventh European Conference on Power Electronics and Applications (EPE), Trondheim, 1997
Schönig, Ch.: Implementierung eines nichtlinearen Beobachters mit DSP an einerWerkzeugmaschine Diplomarbeit, Lehrstuhl für Elektrische Antriebstechnik, München, 1996.
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Frenz, T. (2000). Identification and Compensation of Friction. In: Schröder, D. (eds) Intelligent Observer and Control Design for Nonlinear Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04117-8_7
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DOI: https://doi.org/10.1007/978-3-662-04117-8_7
Publisher Name: Springer, Berlin, Heidelberg
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