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With the current trend of increasing automation, leading to self-organizing machine tools and production machines (“Industry 4.0”), data acquisition and processing becomes more and more important. Based on these data, new monitoring functions and identification methods can be implemented in the machine control. Depending on the algorithms, also drive internal data, such as the actual torque, or the power consumption of the machine axes are required, partially at high sample rates. State of the art computerized numerical controllers (e.g. SIEMENS 840D sl) however, are characterized by a separation of drive system and controller. Drive data, which is not included in the standard bus-connection are difficult to access by the superordinated CNC. The paper addresses this problem, presents and compares various concepts of drive data transfer to a standard industrial CNC/PLC. Subsequently, the most convenient method, which utilizes a drive-internal data recorder is chosen for implementation. It offers flexible drive data acquisition through the PLC at high sample rates, carried out block wise. Experimental results are shown to prove the functionality. Finally, ideas for continuative monitoring and identification methods are discussed.
Słowa kluczowe
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Tom
Strony
82--94
Opis fizyczny
Bibliogr. 21 poz., tab., rys.
Twórcy
autor
- Technische Universitaet Chemnitz, Faculty of Mechanical Engineering, Professorship for Machine Tools and Forming Technology, Chemnitz, Germany
autor
- Technische Universitaet Chemnitz, Faculty of Mechanical Engineering, Professorship for Machine Tools and Forming Technology, Chemnitz, Germany
autor
- Technische Universitaet Chemnitz, Faculty of Mechanical Engineering, Professorship for Machine Tools and Forming Technology, Chemnitz, Germany
autor
- Technische Universitaet Chemnitz, Faculty of Mechanical Engineering, Professorship for Machine Tools and Forming Technology, Chemnitz, Germany
autor
- Technische Universitaet Chemnitz, Faculty of Mechanical Engineering, Professorship for Machine Tools and Forming Technology, Chemnitz, Germany
Bibliografia
- [1] BEINEKE S., WERTZ H., 1999, Design of extended Kalman filters for high performance position control of electrical drives, in: IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Atlanta, 209-214.
- [2] HELLMICH A., HIPP K., SCHLEGEL H., NEUGEBAUER R., 2014, Parameter identification of NC-axes during regular operation of a machine tool, Advanced Materials Research, 1018, WGP Congress, 419-426.
- [3] HOFMANN S., 2012, Identifikation parametrischer Modelle für geregelte elektromechanische Achsen mit modifizierter sukzessiver Polkompensation, Technische Universität Chemnitz, Dissertation.
- [4] ISERMANN R., MUENCHHOF M., 2011, Identification of Dynamic Systems, Springer, Berlin-Heidelberg.
- [5] NEUGEBAUER R., 2012, Werkzeugmaschinen Aufbau, Funktion und Anwendung von spanenden und abtragenden Werkzeugmaschinen, Springer-Vieweg.
- [6] NEUGEBAUER R., HELLMICH A., HOFMANN S., SCHLEGEL H., 2010, Non-invasive parameter identification by using the Least Squares Method, In: Mechatronic Systems and Materials MSM, 6th International Conference, Opole University of Technology.
- [7] NEUGEBAUER R., SCHOENHERR R., SCHLEGEL H., 2011, Using the Prony analysis for assessing servo drive control, Intelligent Control and Automation, 2/4, 293-298.
- [8] PROFIBUS Nutzerorganisation e.V., 2002, PROFIBUS Technology and Application - System Description.
- [9] QUELLMALZ J., SCHLEGEL H., REHM M., KIRCHNER H., NEUGEBAUER R., 2015, Performance index for servo drives under PI speed control, Mechatronic systems and materials MSM, Kaunas.
- [10] QUELLMALZ J., SCHLEGEL H., REHM M., NEUGEBAUER R., 2014, Influence analysis on the model comparison performance index for servo drive control, Mechatronika, 16th International Conference on Mechatronics, 242-247.
- [11] ROTHHOEFT M., 2013, Marktstudie Industrielle Kommunikation: Feldbus – Ethernet – Wireless.
- [12] SATNAM S., 2003, Application of Prony analysis to characterize pulsed corona reactor measurements, MS Thesis, University of Wyoming, Laramie.
- [13] SCHOENHERR R., SCHLEGEL H., DROSSEL W.G., 2012, Assessing the performance of servo drive feedback controls, 13th Mechatronics Forum, International Conference, Linz, Austria.
- [14] SIEMENS AG., 2011, SIMATIC S7-300 Connection of the SINAMICS S120 to the Technology CPU, Product Information.
- [15] SIEMENS AG., 2006, SIMATIC System Software for S7-300/400 System and Standard Functions, Reference Manual,
- [16] SIEMENS AG., 2010, SINUMERIK 840D sl / 828D Basic Functions Function Manual, Technical description,
- [17] SIEMENS AG., 2008, SINUMERIK 840D sl/840Di sl/ 840D/840Di/810D, SinuCom Installation/Service Tools, Operating Manual.
- [18] SIEMENS AG., 2011, SINUMERIK 840D sl, Synchronized actions, Function Manual,
- [19] SUH S.H., KANG S.K., CHUNG D.H., STROUD I., 2008,Theory and design of CNC systems, Springer, London.
- [20] VODA A.A., LANDAU I.D., 1995, A method for the auto-calibration of PID controllers. Automatica, 31/1, 41-43.
- [21] WITTSTOCK V., DROSSEL W.G., SCHLEGEL H., KLIMANT P., HELLMICH A., QUELLMALZ J., 2010, Virtual prototypes for an energy-optimized product develoment process via hardware in the loop simulation, In: Energy-Efficient Product and Process Innovation in Production Enineering, Proceedings of the 1st International Colloquium of the Cluster of Excellende eniPROD, Verlag Wissenschaftliche Scripten, Auerbach
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d244a323-d03b-4bbf-9b59-f6bdbdff823e