Skip to main content
Log in

Hybrid Controller for Adaptive Link Control of Industrial Robots

  • Published:
Journal of Intelligent and Robotic Systems Aims and scope Submit manuscript

Abstract

This paper presents a new adaptation mechanism for a cascaded positioncontroller. The cascaded position controller consists of P.I.D. controllersthe parameters of which are changed by a fuzzy logic adaptation mechanism.The proposed fuzzy logic adaptation mechanism is tested using thesix-degree-of-freedom-robot RV 15, manufactured by Reis Robotics. Using thefuzzy logic adaptation mechanism, the cartesian position error of the toolcenter point can be significantly reduced by 50 %. Anotherenhancement of the dynamic behaviour, which can be achieved by the fuzzylogic adaptation mechanism, is to lessen the influence of different loads onthe cartesian position error.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Arimoto, S. and Miyazaki, F.: Stability and Robustness of PID Feedback Control of Robot Manipulators of Sensory Capability, Brady, M. and Paul, R.P., 1984, chapter 9, pp. 783–799.

  2. Choi, Y. K., Chung, M. J., and Bien, Z.: An adaptive control scheme for robot manipulators, International Journal of Control 44(4) (1986), pp. 1185–1191.

    Google Scholar 

  3. Craig, J. J., Hsu, P., and Shanker Sastry, S.: Adaptive control of mechanical manipulators, in: IEEE(1986), pp. 190–195.

  4. De Silva, C. W. and MacFarlane, A. G. J.: Knowledge-based control approach for robotic manipulators, International Journal of Control 50(1) (1989), pp. 249–273.

    Google Scholar 

  5. Dubowsky, S. and DesForges, D. T.: The application of model-referenced adaptive control to robotic manipulators, Journal of Dynamic Systems, Measurement, and Control 101(September 1979), pp. 193–200.

    Google Scholar 

  6. Isermann, R., Lachmann, K.-H., and Matko, D.: Adaptive Control Systems, Prentice Hall, 1990.

  7. Janocha, H. and Karner, J.: Hybrider PID-Regler zur adaptiven Achslageregelung von Industrierobotern, in: Forschungsbericht Nr. 194 der Fakultät für Elektrotechnik der Universität Dortmund, Dortmund, November 1994, pp. 141–147. GMA–UA 1.4.2.

  8. Karner, J. and Janocha, H.: Optimale fuzzygesteuerte Adaption der Reglerparameter eines Industrieroboters, Fachtagung Moderne Methoden des Regelungs-und Steuerungsentwurfs, pp. 261–268, 1997.

  9. Klein, H. J.: Entwurf und Realisierung einer nichtlinearen Industrieroboter-Regelung für höhere Arbeitsgeschwindigkeiten, Fortschritt-Berichte VDI Reihe 8: Meß-, Steuerungs-und Regelungstechnik Nr. 81. VDI Verlag, Düsseldorf, 1984.

    Google Scholar 

  10. Kuntze, H.-B., Sajidman, M. Schill, W., and Enders, D.: Fuzzy-Logic-Regelungen von Robotern, in: Intelligente Steuerungen und Regelungen von Robotern, VDI/VDE-Gesellschaft Meß-und Automatisierungstechnik, VDI Berichte 1094, November 1993, pp. 305–319.

  11. Sajidman, M., Kuntze, H.-B., and Schill, W.: Positionsregelung von Robotern nach dem Fuzzy-Logic-Prinzip, in: VDI Berichte 1113 (GMA-Aussprachetag Fuzzy Control), VDI/VDEGesellschaft Meß-und Automatisierungstechnik, März 1994, pp. 507–518.

  12. Zimmermann, U. J.: Regelung gekoppelter Handhabungsgeräteachsen, Fortschritt-Berichte VDI Reihe 8: Meß-, Steuerungs-und Regelungstechnik Nr. 206. VDI Verlag, Düsseldorf, 1990.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Karner, J., Janocha, H. Hybrid Controller for Adaptive Link Control of Industrial Robots. Journal of Intelligent and Robotic Systems 20, 93–104 (1997). https://doi.org/10.1023/A:1007940906237

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1007940906237

Navigation