Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Minimum Energy Time Tables for Subway Operation - And Hamiltonian Feedback to Return to Schedule Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Aiming for Maximum Tracking Accuracy in Repetitive Control Systems

verfasst von : Richard W. Longman

Erschienen in: Modeling, Simulation and Optimization of Complex Processes HPSC 2015

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Feedback control systems can have reasonably good performance executing a desired trajectory, but only for frequencies up to the bandwidth of the control system. They never offer perfect tracking of an arbitrary desired trajectory. Repetitive control designs controllers to adjust the command to a feedback system aiming to converge to zero tracking error for any desired trajectory of a known period. It also aims to produce zero error in the presence of a periodic disturbance of known period. The ideal of zero tracking error is unusual in control and also challenging. This paper gives an overview of the methods preferred by the author to approach as closely as possible to this performance ideal.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel pySLEQP: A Sequential Linear Quadratic Programming Method Implemented in Python
Nächstes Kapitel Multiphysics Modeling of Pollutant Uptake by Mangroves
Literatur
1.
Inoue, T., Nakano, M., Iwai, S.: High accuracy control of a proton synchrotron magnet power supply. In: Proceedings of the 8th World Congress of IFAC, vol. 20, pp. 216–221 (1981)
2.
Middleton, R.H., Goodwin, G.C., Longman, R.W.: A method for improving the dynamic accuracy of a robot performing a repetitive task, University of Newcastle, Newcastle, Australia, Department of Electrical Engineering Technical Report EE8546 (1985). Also, Int. J. Robot. Res. 8, 67–74 (1989)
3.
Tomizuka, M., Tsao, T.-C., Chew, K.K.: Analysis and synthesis of discrete time repetitive controllers. J. Dyn. Syst. Meas. Control 111, 353–358 (1989)CrossRefMATH
4.
Longman, R.W.: On the theory and design of linear repetitive control systems. Eur. J. Control Spec. Sect. Iterative Learn. Control 16(5), 447–496 (2010). Guest Editor Hyo-Sung Ahn
5.
Panomruttanarug, B., Longman, R.W.: Repetitive controller design using optimization in the frequency domain. In: Proceedings of the 2004 AIAA/AAS Astrodynamics Specialist Conference, Providence, RI, August 2004
6.
Åström, K., Hagander, P., Strenby, J.: Zeros of sampled systems. In: Proceedings of the 19th IEEE Conference on Decision and Control, pp. 1077–1081 (1980)
7.
Panomruttanarug, B., Longman, R.W.: Designing optimized FIR repetitive controllers from noisy frequency response data. Adv. Astronaut. Sci. 127, 1723–1742 (2007)
8.
Longman, R.W., Yeol, J.W., Ryu, Y.S.: Placing the repetitive controller inside or outside the feedback loop: simultaneously achieving the feedback and repetitive control objectives. Adv. Astronaut. Sci. 127, 1703–1722 (2007)
9.
10.
Lo, C.-P., Longman, R.W.: Root locus analysis of higher order repetitive control. Adv. Astronaut. Sci. 120, 2021–2040 (2005)
11.
Lo, C.-P., Longman, R.W.: Frequency response analysis of higher order repetitive control. Adv. Astronaut. Sci. 123, 1183–1202 (2006)
12.
Guo, H.-J., Longman, R.W., Ishihara, T.: A design approach for insensitivity to disturbance period fluctuations using higher order repetitive control. In: Proceedings of the 19th World Congress of the International Federation of Automatic Control, Cape Town, South Africa, August 24–16, 2014
13.
Yamada, M., Riadh, Z., Funahashi, Y.: Design of robust repetitive control system for multiple periods. In: Proceedings of the 39th IEEE Conference on Decision and Control, pp. 3739–3744 (2000)
14.
Ahn, E.S., Longman, R.W., Kim, J.J.: Comparison of multiple-period and higher order repetitive control used to produce robustness to period fluctuations. Adv. Astronaut. Sci. 148, 179–202 (2013)
15.
Ahn, E.S., Longman, R.W., Kim, J.J.: Evaluating the stability robustness to model errors of multiple-period repetitive control. Adv. Astronaut. Sci. 142, 2563–2580 (2012)
16.
Prasitmeeboon, P., Longman, R.W.: Using quadratically constrained quadratic programming to design repetitive controllers: application to non-minimum phase systems. Adv. Astronaut. Sci. 156, 1647–1666 (2015)
17.
Grant, M., Boyd, S.: Graph implementations for nonsmooth convex programs. In: Blondel, V., Boyd, S., Kimura, H. (eds.) Recent Advances in Learning and Control (a tribute to M. Vidyasagar). Lecture Notes in Control and Information Sciences, pp. 95–110. Springer, London (2008). http://​stanford.​edu/​~boyd/​graph_​dcp.​html
18.
LeVoci, P., Longman, R.W.: Frequency domain prediction of final error due to noise in learning and repetitive control. Adv. Astronaut. Sci. 112, 1341–1359 (2002)
19.
Yeol, J.W., Longman, R.W.: Time and frequency domain evaluation of settling time in repetitive control. In: Proceedings of the AIAA/AAS Astrodynamics Specialist Conference, Hawaii, August 2008
20.
Seron, M.S., Braslavsky, J.H., Goodwin, G.C.: Fundamental Limitations in Filtering and Control. Springer, London (1997)CrossRefMATH
21.
Songchon, T., Longman, R.W.: On the waterbed effect in repetitive control using zero-phase filtering. Adv. Astronaut. Sci. 108, 1321–1340 (2002)
22.
Phan, M.Q., Longman, R.W., Panomruttanarug, B., Lee, S.C.: Robustification of iterative learning control and repetitive control by averaging. Int. J. Control 86(5), 1–14 (2013)MathSciNetCrossRefMATH
23.
Shi, Y., Longman, R.W., Phan, M.Q.: An algorithm for robustification of repetitive control to parameter uncertainties. Adv. Astronaut. Sci. 136, 1953–1966 (2010)
24.
Longman, R.W.: Iterative learning control and repetitive control for engineering practice. Int. J. Control 73(10), 930–954 (2000). Special Issue on Iterative Learning Control
25.
Kang, W., Longman, R.W.: The effect of interpolation on stability and performance in repetitive control. Adv. Astronaut. Sci. 123, 1163–1182 (2006)
26.
Zhu, J., Longman, R.W.: Incorporating physical considerations in the design of repetitive controllers. Adv. Astronaut. Sci. 152, 2803–2822 (2014)
27.
Panomruttanarug, B., Longman, R.W.: Frequency based optimal design of FIR zero-phase filters and compensators for robust repetitive control. Adv. Astronaut. Sci. 123, 219–238 (2006)
28.
Bao, J., Longman, R.W.: Enhancements of repetitive control using specialized FIR zero-phase filter designs. Adv. Astronaut. Sci. 129, 1413–1432 (2008)
29.
Longman, R.W., Xu, K., Panomruttanarug, B.: Designing learning control that is close to instability for improved parameter identification. In: Bock, H.G., Kostina, E., Phu, H.X., Rannacher, R. (eds.) Modeling, Simulation and Optimization of Complex Processes, pp. 359–370. Springer, Heidelberg (2008)CrossRef
30.
Isik, M.C., Longman, R.W.: Explaining and evaluating the discrepancy between the intended and the actual cutoff frequency in repetitive control. Adv. Astronaut. Sci. 136, 1581–1598 (2010)
31.
Shi, Y., Longman, R.W.: The influence on stability robustness of compromising on the zero tracking error requirement in repetitive control. J. Astronaut. Sci. 59(1–2), 453–470 (2014)
32.
Shi, Y., Longman, R.W., Nagashima, M.: Small gain stability theory for matched basis function repetitive control. Acta Astronaut. 95, 260–271 (2014)CrossRef
Metadaten
Titel
Aiming for Maximum Tracking Accuracy in Repetitive Control Systems
verfasst von
Richard W. Longman
Copyright-Jahr
2017
Buch
Modeling, Simulation and Optimization of Complex Processes HPSC 2015

Print ISBN: 978-3-319-67167-3

Electronic ISBN: 978-3-319-67168-0

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-67168-0_10

Premium Partner

    Bildnachweise