Elsevier

CIRP Annals

Volume 44, Issue 1, 1995, Pages 147-150
CIRP Annals

About the Application of Fuzzy Controllers in High-Performance Die-Sinking EDM Machines

https://doi.org/10.1016/S0007-8506(07)62294-XGet rights and content

Abstract

The paper deals with the problematics of die-sinking optimization and control systems. As it is known, Electric Discharge Machining is partly stochastic in nature. In the past, various optimization control algorithms have been developed and implemented to improve the overall performance of EDM die sinkers. AGIE has introduced Adaptive Control Optimization (ACO) algorithms as well as Adaptive Control Constraint (ACC) regulators. To satisfy the customers requirements even better, new techniques have been studied, and the use of fuzzy controllers is now reality. In the paper, a description of fuzzy controllers is given, its principles and results on commercial EDM AGIE die sinkers. It is proven that in comparison with traditional controllers, fuzzy regulators are definitely well suited in an EDM environnement.

References (12)

  • Behrens, A., Odensass, Ph., Increasing efficiency of spark - erosion -sinking-machine by adaptive control using digital...
  • RajurkarK.P. et al.

    Real - Time Stochastic Model and Control of EDM

    Annals of the CIRP

    (1990)
  • Zadeh, L.A., Fuzzy sets, Inform, and control/8...
  • Zadeh, LA., Preface to Fuzzy Logic Technology and Applications, IEEE Technology Update Series...
  • Nomura, H., Hayashi, I., Wakami, N.A, Learning Method of Fuzzy Inference Rules by Descent Method, IEEE International...
  • Zheng, L., A Practical Guide to Tune of PI Like Fuzzy Controllers, IEEE Intern. Conf. on fuzzy systems, San Diego CA...
There are more references available in the full text version of this article.

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