Skip to main content
SpringerLink
Log in

Fuzzy-Control für Echtzeitanwendungen: Einführung und Übersicht

  • Chapter
Echtzeitsysteme und Fuzzy Control

Part of the book series: Programm Angewandte Informatik ((PAI))

  • 99 Accesses

Zusammenfassung

Nach der Einführung der Fuzzy-Theorie durch Lotfi Zadeh im Jahre 1965 [34] brauchte es etwa zehn Jahre bis zu einer entscheidenden Erweiterung dieser Theorie auf die Control-Problematik. Eine diesbezügliche Pionierarbeit wurde insbesondere von Mamdani, Assilian (UK), Van Nauta Lemke und Kickert (Niederlande) geleistet (vgl. [17], [11, [1], [23]). In diesen Arbeiten wird von unscharfen Prozeßgrößen ausgegangen, aus denen mittels eines Fuzzy-Controllers (FC), d.h. eines Satzes von Fuzzy-Produktionsregeln, Stellgrößen für den Prozeß abgeleitet werden. Diese zu konventionellen Techniken alternative Regelungsstrategie kommt einerseits dort zum Tragen, wo die Komplexität des zu steuernden Prozesses eine befriedigende Modellierung und damit einen darauf aufbauenden Reglerentwurf verhindert. In diesem Fall werden die Regeln für den FC durch Experteniriterview aufgestellt. Beispiele dazu sind schon aus den frühen Phasen des Fuzzy-Control bekannt

  • Regelung einer Warmwasseranlage [10]

  • Regelung eines Wärmetauschers [19]

  • Fuzzy-Control in industriellen Prozessen [13].

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Literatur

  1. Assilian, S.; Mamdani, E.H.: Learning Control Algorithms in Real Dynamic Systems Proc. 4th Int. IFAC/IFIP Conf. on Digital Computer Appl. to Process Control, Zurich, March 1974.

    Google Scholar 

  2. Buckley, J.J.; Ying, H.: Fuzzy Controller: Limit Theorems for Linear Fuzzy Control Rules Automatica, 25(3)(1989)469–472.

    Article  MATH  MathSciNet  Google Scholar 

  3. Buckley, J.: Fuzzy Controller: Further Limit Theorems for Linear Control Rules Fuzzy Sets and Systems, 36(1990)225–233.

    Article  MATH  MathSciNet  Google Scholar 

  4. Dodds, D.R.: Fuzzyness in Knowledge-Based Robotics Systems Fuzzy Sets and Systems, 26(1988)179–193.

    Article  MathSciNet  Google Scholar 

  5. Driankov, D.; Hellendoorn, H.; Reinfrank, M.: An Introduction to Fuzzy Control Springer-Verlag Berlin, Heidelberg, New York, London, Paris, Tokyo, Hong Kong, Barcelona, Budapest

    Google Scholar 

  6. Graham, B.P.; Newell, P.B.: Fuzzy Identification and Control of a Liquid Level Rig Fuzzy Sets and Systems, 26(1988)225–273.

    Article  MathSciNet  Google Scholar 

  7. Hirota, K., Arai, Y.; Pedrycz, W.: Robot Control Based on Membership and Vagueness In: M.M. Gupta; A. Kandel; W. Bandler; J.B. Kiszka (Eds.), Approximate Reasoning in Expert Systems, Elsevier Science Publishers B.V. (North-Holland), 1985, pp. 621–635

    Google Scholar 

  8. Kamezaki, S., Aoyama, T. & Inasaki, I.: Force Control of Direct-Drive Robot by means of Fuzzy Theory MSET21 The Intern. Conf on Manufacturing Systems and Environment, May 28-June 1, 1990, Tokyo, Japan, pp. 129–134

    Google Scholar 

  9. Kawaji, S. & Matsunaga, N.: Fuzzy Control of VSS Type and Its Robustness IFSA ‘91 Brussels, July 7–12, 1991 Preprints, Vol. “Engineering” pp.81–84

    Google Scholar 

  10. Kickert, W.J.M.; Van Nauta Lemke, H.R.: Application of a Fuzzy Controller in a Warm Water Plant Automatica, 12(1976)301–308.

    Article  Google Scholar 

  11. Kickert, W.J.M. & Mamdani, E.H..: Analysis of a Fuzzy Logic Controller Fuzzy Sets and Systems, 1(1978)29–44.

    Article  MATH  Google Scholar 

  12. Kim, G., et al.: Development of Expert Systems for Grinding Operations MSET21 The Intern. Conf on Manufacturing Systems and Environment, May 28-June 1, 1990, Tokyo, Japan, pp. 395–400.

    Google Scholar 

  13. King, P.J. & Mamdani, B.H.: The Application of Fuzzy Control Systems to Industrial Processes In: Gupta, M.M. (ed), Fuzzy Automata and Decision Processes, New York, North-Holland, 1977, pp. 105–131.

    Google Scholar 

  14. King, R.E. & Karonis, F.C.: Multi-Level Expert Control of a Large Scale Industrial Process In: M.M. Gupta, T. Yamakawa (Eds.) Fuzzy Computing, Elsevier Science Publishers B.V. (North-Holland) 1988, pp. 323–339.

    Google Scholar 

  15. Li, Y.F. & Lau, C.C.: Application of Fuzzy Control for Servo Systems Proc. of the IEEE Intern. Conf. on Robotics and Automation, April 24–29, 1986, Philadelphia.

    Google Scholar 

  16. Mac Vicar-Whelan, P.J.: Fuzzy Sets for Man-Machine Interaction Int. J. Man-Machine Studies, 8(1976)687–697

    Article  Google Scholar 

  17. Mamdani, E.H.: Advances in the Linguistic Synthesis of Fuzzy-Controllers Int. J. Man-Machine Studies, 8(1976)669–678

    Article  MATH  Google Scholar 

  18. Mamdani, E.H., Ostergaard, J.J.; Lembessis, E.: Use of Fuzzy Logic for Implementing Rule Based Control of Industrial Processes TIMS/Studies in the Management Sciences, 20 (1984) 429–445

    Google Scholar 

  19. Ostergaard, J.J.: Fuzzy Logic Control of a Heat Exchanger Process In: Gupta, M.M. (ed), Fuzzy Automata and Decision Processes, New York, North-Holland, 1977, pp. 285–320.

    Google Scholar 

  20. Palm, R.: Fuzzy Controller for a Sensor Guided Robot Manipulator Fuzzy Sets and Systems, 31(1989)133–149.

    Article  Google Scholar 

  21. Palm, R.: Control of a Redundant Manipulator using Fuzzy Rules Fuzzy Sets and Systems, 45 (1992)279–298

    Article  MathSciNet  Google Scholar 

  22. Palm, R.: Sliding Mode Fuzzy Control IEEE International Conf. on Fuzzy Systems FUZZ-IEEE’92, March 8–12, 1992 San Diego, Proceedings pp. 519–526

    Google Scholar 

  23. DeSilva, C.W.; MacFarlane, A.G.J.: Knowledge-Based Control with Application to Robots Lecture Notes in Control and Information Sciences, Bd. 123, Springer-Verlag Berlin, Heidelberg 1988.

    Google Scholar 

  24. Slivinska, S., Kowalski, R.; Matys, S: Some Problems of the Shape of Fuzzy sets and the Dimension of a Model with Respect to its Adaquacy Fuzzy Sets and Systems, 26(1988)63–83.

    Article  Google Scholar 

  25. Slotine, J.E.: The Robust Control of Robot Manipulators The Int. Journ. of Robotics Research, 4(2)(1985)49–64

    Article  Google Scholar 

  26. Sugeno, M.; Murakami K.: Fuzzy Parking Control of Model Car 23rd IEEE Conf. on Decision and Control, Las Vegas, 1984

    Google Scholar 

  27. Sugeno, M.; Kang, G.T.: Structure Identification of Fuzzy Model Fuzzy Sets and Systems, 28(1988)15–33

    Article  MATH  MathSciNet  Google Scholar 

  28. Takagi, T.; Sugeno, M.: Fuzzy Identification of Systems and Its Applications to Modeling and Control IEEE Trans. on Systems, Man, and Cybernetics, 15(1)(1985)116–132.

    Article  MATH  Google Scholar 

  29. Tang, K.L.; Mulholland, R.J.: Comparing Fuzzy Logic with Classical Controllers Designs IEEE Trans. on Systems, Man, and Cybernetics, 17(6)(1987)1085–1087

    Article  Google Scholar 

  30. Tanscheit, R.; Scharf, E.M.: Experiments with the Use of a Rule-based Self-organising Controller for Robotic Applications Fuzzy Sets and Systems, 26(1988)195–214

    Article  Google Scholar 

  31. Wakileh, B.A.M.; Gill, K.F.: Use of Fuzzy Logic in Robotics Computers in Industry, 10(1988)35–46

    Article  Google Scholar 

  32. Yamaguchi, T.; Endo, T.; Haruki, K.: Fuzzy Predict and Control Method and its Application IEEE International Conference CONTROL88, University of Oxford, UK 13–15 April 1988

    Google Scholar 

  33. Yasunobu, S., Sekins, S.; Hasegawa, T.: Automatic Train Operation and Automatic Crane Operation Systems Based on Predictive Fuzzy Control Preprints of 2nd IFSA Congress Tokyo, July 20–25, 1987, pp. 835–838

    Google Scholar 

  34. Zadeh, L. A.: Fuzzy Sets Information and Control, 8(1965)338–353

    Article  MATH  MathSciNet  Google Scholar 

  35. Automatic Train Operation Techno Japan Vol. 23, No.3 March 1990, pp. 47–50

    Google Scholar 

Download references

Authors
  1. R. Palm
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. H. Hellendoorn
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. Reinfrank
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Helmut Rzehak

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Friedr. Vieweg & Sohn Verlagsgesellschaft mbH, Braunschweig/Wiesbaden

About this chapter

Cite this chapter

Palm, R., Hellendoorn, H., Reinfrank, M. (1994). Fuzzy-Control für Echtzeitanwendungen: Einführung und Übersicht. In: Rzehak, H. (eds) Echtzeitsysteme und Fuzzy Control. Programm Angewandte Informatik. Vieweg+Teubner Verlag, Wiesbaden. https://doi.org/10.1007/978-3-322-85506-0_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-322-85506-0_7

  • Publisher Name: Vieweg+Teubner Verlag, Wiesbaden

  • Print ISBN: 978-3-528-05432-8

  • Online ISBN: 978-3-322-85506-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation