Condition monitoring of galvanometric drives based on a innovative heat transfer model

被引:0
作者
Pieczona S.J. [1 ,3 ]
Meggendorfer F. [2 ]
Zäh M.F. [3 ]
机构
[1] Technischen Universität München, Germany
[2] Hilfskraft am Institut für Werkzeugmaschinen und Betriebswissenschaften (iwb), Germany
[3] Universität München, Germany
来源
ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb | 2016年 / 111卷 / 11期
关键词
Galvanometers - Computing power - Scanning;
D O I
10.3139/104.111616
中图分类号
学科分类号
摘要
New control algorithms for a galvanometer laser scanner enhance the system’s dynamics, but an exceptionally high capacity utilization of the components may cause a thermal overload and damage the drives. In this article, we present a possibility for condition monitor- ing of scanner systems, based on an approximative heat transfer model of the drives, which requires less computing power. In addition, the initial parameters can be taken from datasheets. With the presented methodology the temperature within the galvanometric drive can be estimated. Thus, it is possible to respond to the danger, if a critical value is exceeded. © 2016 Carl Hanser Verlag, München.
引用
收藏
页码:731 / 735
页数:4
相关论文
共 10 条
[1]  
Pieczona S.J., Zah M.F., Neuartige Modellierung Eines Galvanometer-Laserscanners., 9, pp. 647-650, (2015)
[2]  
Yoo H.W., Ito S., Verhaegen M., Schitter G., Transformation-based Iterative Learning Control for Non-collocated Sensing of a Galvanometer Scanner, In: Proceedings of the IEEE 8Th International Symposium on Applied Computational Intelligence and Informatics (SACI), pp. 1204-1209, (2013)
[3]  
Chen C.-T., Cheng M.-Y., Wu C.-H., Wen C.-M., Taguchi Method based Model Predictive Control Design for Laser Scanner, In: Proceedings of the 8Th IEEE Asian Control Conference (ASCC), pp. 737-742, (2011)
[4]  
Toyama S., Okado Y., Maeda Y., Iwasaki M., Hirai H., Adaptive Deadbeat Feedforward Compensation for Robust Positioning Performance against Plant Perturba tions, Proceedings of the IEEE International Conference on Mechatronics, pp. 670-675, (2013)
[5]  
Uhlmann E., Laghmouchi A., Hohwieler E., Geisert C., Zustandsüberwachung in der Cloud–Verteiltes Condition Monitoring zur Steigerung der Maschinenverfügbarkeit, ZWF, 111, 3, pp. 148-151, (2016)
[6]  
Walther M., Antriebsbasierte Zustandsdiagnose von Vorschubantrieben, ISW/IPA Forschung Und Praxis, 183, (2011)
[7]  
Polifke W., Kopitz J., Wärmeübertragung: Grundlagen, Analytische Und Numerische Methoden, (2009)
[8]  
Stoffel A., Finite Elemente Und Wärmeleitung–Eine Einführung, pp. 7-126, (1992)
[9]  
Hoffmann A., Marx B., Vogt W., Mathematik für Ingenieure, pp. 578-592, (2006)
[10]  
Lunze J., Regelungstechnik 2., pp. 15-62, (2014)