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Combination of criteria for controller parameterisation in the time and frequency domain by simulation-based optimisation

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EN
Abstrakty
EN
The position controller cascade is widely used in standard industrial controllers. Its controller parameterisation is commonly performed by either applying basic tuning rules or by carrying out not comprehensible design automatisms.In this paper an alternative approach to parameterise the cascade in one step is presented. It bases on established methods within the field of optimisation research specifically the so-called simulation-based optimisation (SBO), which can also handle non-linear models and various constrains. Own research showed, that criteria in the time domain as well as in the frequency domain are suitable optimisation criteria. However, both types have individual advantages and disadvantages. Therefore, in this research, selected representatives from both types were combined as new multi-objective optimisation criteria and investigated according to their performance. Investigations were performed for a test rig model (third order transfer function plus dead time and friction).The paper presents fundamentals of the SBO and a description of the optimisation criteria, obtained results as well as their verification on the test rig. Also, the derived controller parameterisations are compared to the integrated tuning automatism.
Rocznik
Strony
70--81
Opis fizyczny
Bibliogr. 20 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
  • Technische Universitaet Chemnitz, 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, 1-343.
  • [2] ÅSTRÖM K., MURRAY M., 2008, Feedback systems: An introduction for scientists and engineers, Princeton University Press, Princeton, 1-396.
  • [3] BERGER M., 2001, Grundkurs der Regelungstechnik, 1, Books on Demand.
  • [4] CARSON Y., MARIA A., 1997, Simulation optimization: methods and applications, Winter Simulation Conference, 118-126.
  • [5] CHRISTEN D. S., 2005, Praxiswissen der chemischen Verfahrenstechnik, Springer Verlag, ISBN 3-540-40322-1.
  • [6] EBERHART R., KENNEDY J., 1995, A new optimizer using particle swarm theory, MHS ’95, Proceedings of the Sixth International Symposium.
  • [7] 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.
  • [8] 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.
  • [9] LENNART L., GLOVER K., 1981, Frequency domain versus time domain methods in system identification, Automatica, 17/1, 71–86.
  • [10] HOFMANN S., 2012, Identifikation parametrischer Modelle für geregelte elektromechanische Achsen mit modifizierter sukzessiver Polkompensation, Technische Universitaet Chemnitz.
  • [11] ISERMANN R., 1992, Identifikation dynamischer systeme 1, Grundlegende methoden, 2. Auflage, Springer Verlag, ISBN 3-540-54924-2.
  • [12] LUNZE J., 2014, Regelungstechnik 1: Systemtheoretische Grundlagen, Analyse und Entwurf einschleifiger Regelungen, 10, Auflage, Springer Verlag, ISBN 9783642539091.
  • [13] LUTZ H, WENDT W., 2007, Taschenbuch der Regelungstechnik: Mit MATLAB und Simulink. 7., Harri Deutsch Harri, Giessen.
  • [14] NELDER J.A., MEAD R., 1965, A simplex method for function minimization, The Computer Journal, 7/4, [14] 308-313.
  • [15] 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, Poland, Warsaw.
  • [16] POETZSCH A., 2012, Ausarbeitung, Realisierung sowie Bewertung von Leistungskriterien und Nebenbedingungen für die simulationsbasierten Optimierung für Regelstrukturen, Technische Universitaet Chemnitz.
  • [17] POETZSCH A., 2013, Untersuchung von Bewertungs- und Stabilitätskriterien für die simulationsbasierte Optimierung im Frequenzbereich, Technische Universitaet Chemnitz.
  • [18] SHINNERS S. M., 1992, Modern control system theory and design, John Wiley and Sons, Inc., New York.
  • [19] UNBEHAUEN H., 2008, Regelungstechnik 1, 15. überarbeitete und erweiterte Auflage, Vieweg + Teubner Verlag, ISBN 978-3-8348-0497-6.
  • [20] VILLWOCK S., 2007, Indentifikationsmethoden für die automatisierte Inbetriebnahme und Zustandsüberwachung elektrischer Antriebe, Dissertation, Universität Siegen, Fachbereich Elektrotechnik und Informatik.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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