The Study on Disturbing Force of Dynamic Mechanical Systems Using Kalman Filter Techniques

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According to the approach presented in this paper, the disturbing force of dynamic mechanical systems can be estimated using Kalman Filter techniques. It has been shown how multiple sensors can be included to improve the estimation accuracy and how the algorithm responds to changing parameters and model inaccuracies. Finally, the approach has been experimentally verified with a MEMS-sensor and a more complex dynamic structure of a milling machine with active magnetic guides. Future enhancements may especially regard the model side, since the estimation accuracy is directly determined by the model quality.

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371-377

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June 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] G. Byrne, D. Dornfeld, and B. Denkena: "Advancing Cutting Technology", CIRP Annals – Manufacturing Technology, Vol. 52, Issue 2, pp.483-507, 2003.

DOI: 10.1016/s0007-8506(07)60200-5

Google Scholar

[2] E. Abele, U. Fiedler, M. Kreis, A. Versch and M. Weigold: "Increasing he process safety with on-line monitoring and off-line chatter prediction", Production Engineering, Research and Development, Vol. 10, pp.101-104, 2003.

Google Scholar

[3] www.Kistler.com, from July (2010)

Google Scholar

[4] M. Kaever: "Steuerungsintegrierte Fertigungsprozessüberwachung bei spanender Bearbeitung", PhD Thesis, RWTH Aachen, (2005)

Google Scholar

[5] J. Brinkhaus: "Statistische Verfahren zur selbstlernenden Überwachung spanender Bearbeitungen in Werkzeugmaschinen", PhD Thesis, Leibniz Universitaet Hannover, 2009.

Google Scholar

[6] K. Weinert, O. Webber, A. Busse, M. Hüsken, J. Mehnen and P. Stagge: "Experimental investigation of the BTA deep hole drilling process", Production Engineering, Vol. VIII/2, pp.1-4, 2001.

DOI: 10.3139/104.100422

Google Scholar

[7] F. Girardin, D. Remond and J.-F. Rigal: "High Frequency Correction of Dynamometer for Cutting Force Observation in Milling", Journal of Manufacturing Science and Engineering, Vol. 132, Issue 3, 2010.

DOI: 10.1115/1.4001538

Google Scholar

[8] A.W. Ordys and A.W. Pike: "State space generalized predicitve control incorporating direct through terms", Proceedings of the 37th IEEE Conference on Decision and Control, Vol. 4, pp.4740-4741, 1998.

DOI: 10.1109/cdc.1998.762083

Google Scholar

[9] B. Denkena, F. Hackelöer and K.M. Litwinski: "Process Force Identification with a Contactless Magnetic Guide", Proceedings of the Adaptronic Congress, Berlin, 2009.

Google Scholar

[10] S. Park and Y. Altintas: "Dynamic Compensation of Spindle Integrated Force Sensors with Kalman Filter", Journal of Dynamic Systems, Measurement and Control, Vol 126, pp.443-452, 09/2004.

DOI: 10.1115/1.1789531

Google Scholar

[11] F. Kallage: "Einsatz magnetischer Antriebs- und Führungseinheiten zur Erhöhgung der Bahngenauigkeit von Hochgeschwindigkeits-fräsmaschinen", PhD-Thesis, Leibniz Universität Hannover, 2007.

Google Scholar

[12] G. Welch and G. Bishop: "An introduction to Kalman Filter", Siggraph Course 2001.

Google Scholar