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Motion control algorithm and tuning rules for mechanical devices with low sampling-rate electronics

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Języki publikacji
EN
Abstrakty
EN
Controlling mechanical systems with position and velocity cascade loops is one of the most effective methods to operate this type of systems. However, when using low-rate sampling electronics, the implementation is not trivial and the resulting performance can be poor. This paper proposes effective tuning rules that only require establishing the bandwidth of the inner velocity loop and an estimation of the inertia of the mechanism. Since discrete-time mechatronic systems can also exhibit unstable behavior, several stability conditions are also derived. By using the proposed methodology, a P-PI control algorithm is developed for a desktop haptic device, obtaining good experimental performance with low sampling-rate electronics.
Rocznik
Strony
123--138
Opis fizyczny
Bibliogr. 15 poz., fot., rys., wykr., wzory
Twórcy
  • TECNUN, University of Navarra, and CEIT, San Sebastián, Spain
autor
  • TECNUN, University of Navarra, and CEIT, San Sebastián, Spain
Bibliografia
  • [1] S. Song, W. Cai, and Y.-G.Wang: Auto-tuning of cascade control systems, ISA Transactions, 42(1) (2003), 63–72.
  • [2] R. Vilanova and O. Arrieta: PID tuning for cascade control system design, in 2008 Canadian Conference on Electrical and Computer Engineering, May 2008, pp. 001 775–001 778.
  • [3] S. Formentin, A. Cologni, D. Belloli, F. Previdi, and S. M. Savaresi: Fast tuning of cascade control systems, in 18th World Congress The International Federation of Automatic Control, vol. IFAC Proceedings Volumes, no. 44, Milano, Italy, 2011, pp. 10 243–10 248.
  • [4] B&R, TM450 – ACOPOS Control Concept and Adjustment, B&R Industrial Automation GmbH, 2007.
  • [5] W. K. Chung, L.-C. Fu, and T. Kröger: Springer Handbook of Robotics, 2016, ch. Motion Control, pp. 163–194.
  • [6] Y. Altintas, A. Verl, C. Brecher, L. Uriarte, and G. Pritschow: Machine tool feed drives, CIRP Annals – Manufacturing Technology, 60 (2011), 779–796.
  • [7] R. Haber, J. Arenas, F. Matia, A. Villalonga, and J. González-Fontanet: Automatic optimal setting of a cascade control system. application to trajectory tracking control with friction and backlash, in XXXIX Jornadas de Automatica, Badajoz, Spain, 2018, pp. 924–931.
  • [8] Rockwell, MOTION-AT005C-EN-P Motion System Tuning, Rockwell Automation, Inc., May 2016.
  • [9] Fagor, CNC 8065 – Programming manual, Fagor Automation S. Coop., 2014.
  • [10] M. Nordin and P.-O. Gutman: Controlling mechanical systems with back-lash – a survey, Automatica, 38 (2002), 1633–1649.
  • [11] J. J. Gil, I. Díaz, P. Ciáurriz, and X. Justo: Educational haptic controller based on Arduino platform, in 11st Congress of Technologies Applied to Electronics Teaching, Bilbao, Spain, June 11-13 2014, pp. 205–211.
  • [12] L. Abdullah, Z. Jamaludin, M. Salleh, B. Abu Bakar, J. Jamaludin, T. Chiew, and N. Rafan: Theoretical analysis of velocity and position loop behaviour of nonlinear cascade feedforward controller for positioning of xy table ballscrew drive system, in Materials, Industrial, and Manufacturing Engineering Research Advances 1.1, ser. Advanced Materials Research, vol. 845, Trans Tech Publications, 2 2014, pp. 831–836.
  • [13] K. Ogata: Discrete-Time Control Systems, 2nd ed., Pearson Prentice-Hall, 1995.
  • [14] Modern Control Engineering, Pearson Prentice-Hall, 2002.
  • [15] R. H. Castain and R. P. Paul: An on-line dynamic trajectory generator, The International Journal of Robotics Research, 3(1) (1984), 68–72.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3651cf69-e9ba-4484-aafc-c2cdf56e0f9c
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