Simulation based optimization for controller parameterization of machine tool axes – advanced application

• Autorzy: Hipp K. , Schöberlein C. , Schlegel H. , Neugebauer R.
• Języki publikacji: EN

Abstrakty

EN

The quality of the controller parameterization of a drive system has direct influence on the obtained performance. Nevertheless, the commissioning is mainly done today by the application of basic tuning rules or not comprehensible automatisms. This often leads to not optimal performance. An alternative approach is to parameterize the typical controller cascade, which is widely used in standard industrial controllers, in one step by using the so-called “simulation-based optimization” (SBO). Significant advantages are the opportunity of defining specific restrictions concerning the desired controller parameterization and the possibility for directly processing non-linear systems without approximations. Furthermore, friction, additional filters in the cascade or controller structure extensions like the Advanced Position Control (APC) can be considered. Therefore, in the present paper, the application and the results of the SBO for different drive systems will be presented. After an introduction, the paper describes the basic principles of the simulation based optimization including the application for controller parameterization. Subsequently, the results for indirect velocity control of a test rig are discussed. After that, the findings for the commissioning of a direct position controller of an industrial servo press are presented. The paper closes with a summary and an outlook.

Słowa kluczowe

EN

simulation-based optimization; commissioning; controller parameterisation; servo press

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2017
• Tom: Vol. 17, No. 1
• Strony: 57--68
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Hipp K.

• Chemnitz University of Technology, Faculty of Mechanical Engineering, Professorship for Machine Tools and Forming Technology, Chemnitz, Germany

autor

Schöberlein C.

• Chemnitz University of Technology, Faculty of Mechanical Engineering, Professorship for Machine Tools and Forming Technology, Chemnitz, Germany

autor

Schlegel H.

• Chemnitz University of Technology, Faculty of Mechanical Engineering, Professorship for Machine Tools and Forming Technology, Chemnitz, Germany

autor

Neugebauer R.

• Chemnitz University of Technology, Faculty of Mechanical Engineering, Professorship for Machine Tools and Forming Technology, Chemnitz, Germany

Bibliografia

• [1] ÅSTRÖM K., HÄGGLUND T., 1995, PID Controllers: Theory, design, and tuning, Instrument Society of America, New York.
• [2] ÅSTRÖM K., MURRAY M., 2008, Feedback Systems: An introduction for scientists and engineers, Princeton University Press, Princeton.
• [3] CARSON Y., MARIA A., 1997, Simulation optimization: methods and applications, Winter Simulation Conference.
• [4] EBERHART R., KENNEDY J., 1995, A new optimizer using particle swarm theory, MHS ’95, Proceedings of the Sixth International Symposium.
• [5] HIPP K., HELLMICH A., SCHLEGEL H., DROSSEL W., 2014, Criteria for controller parameterization in the frequency domain by simulation based optimization, The 14th Mechatronics Forum International Conference, Karlstad, Sweden.
• [6] HIPP K., HELLMICH A., SCHLEGEL H., NEUGEBAUER R., 2014, Time domain criteria for controller parameterization by simulation based optimization, MM Science Journal, Special issue/HSM 2014.
• [7] HIPP K., UHRIG M., HELLMICH A., SCHLEGEL H., NEUGEBAUER R., 2016, Combination of criteria for controller parameterisation in the time and frequency domain by simulation-based optimisation, Journal of Machine Engineering, 16/4, 70-81.
• [8] LUNZE J., 2014, Regelungstechnik 1: Systemtheoretische Grundlagen, Analyse und Entwurf einschleifiger Regelungen, 10. Auflage, Springer Verlag, ISBN 9783642539091.
• [9] MÜNSTER, R., WALTHER, M., SCHLEGEL, H., DROSSEL, W.-G., 2015, Experimental and simulationbased investigation of a velocity controller extension on a ball screw system, Journal of Mechanics Engineering and Automation, 5, 220-228.
• [10] NEUGEBAUER R., HIPP K, HELLMICH A., SCHLEGEL H., 2011 Increased performance of a hybrid optimizer for simulation based controller parameterization, 9th international Conference Mechatronics 2011, Warsaw, Poland.
• [11] SCHÜTTE F., 2003, Automatisierte Reglerinbetriebnahme für elektrische Antriebe mit schwingungsfähiger Mechanik, dissertation, University Paderborn, Germany.
• [12] SHINNERS S.M., 1992, Modern control system theory and design, John Wiley and Sons, Inc., New York.
• [13] VILLWOCK S., 2007, Indentifikationsmethoden für die automatisierte Inbetriebnahme und Zustands-überwachung elektrischer Antriebe, dissertation, University Siegen, Fachbereich Elektrotechnik und Informatik.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).