Advertisement

Russian Electrical Engineering

, Volume 89, Issue 11, pp 648–651 | Cite as

Adaptive Fuzzy Control of Tracking Electromechanical Systems

  • Yu. N. KhizhnyakovEmail author
  • A. A. Yuzhakov
  • I. I. Besukladnikov
  • D. N. Trushnikov
Article
  • 1 Downloads

Abstract

Automated systems for controlling technological processes on the basis of a position-tracking electromechanical control system (PTECS) are characterized by a program known in advance for changing the working tools. However, to control a position-tracking electromechanical system that operates under unpredictable changes in a wide range of driving forces, traditional controlling methods are not sufficient for securing not only optimal, but even stable, operation of the system. A position-tracking electromechanical system is developed for controlling the working tools of technological process on the basis of neural-fuzzy technology, which removes the restrictions and expands the field of its application.

Keywords:

electromechanical system technological process working tool neuron-fuzzy controller adaptive fuzzification fuzzy implication activation functions 

Notes

ACKNOWLEDGMENTS

This work was performed in the framework of state assignment project no. 9.9697.2017/BCh, “To Develop the Technological Basis of Hybrid Additive Technologies with Wire Adding Material Feeding.”

REFERENCES

  1. 1.
    Gostev, V.I., Perechnyi, V.N., and Sineutskii, I.V., Optimal fast control in discrete systems with saturation, Avtomatika, 1988, no. 2.Google Scholar
  2. 2.
    Graupe, D., Identification of Systems, New York: van Nostrand Reinhold, 1972.Google Scholar
  3. 3.
    Legotkina, T.S. and Danilova, S.A., Metody identifikatsii sistem (Methods for Systems Identification), Perm: Permsk. Gos. Tekh. Univ., 2008.Google Scholar
  4. 4.
    Rotach, V.Ya., Teoriya avtomaticheskogo upravleniya (The Theory of Automatic Control), Moscow: Mosk. Energ. Inst., 2004.Google Scholar

Copyright information

© Allerton Press, Inc. 2018

Authors and Affiliations

  • Yu. N. Khizhnyakov
    • 1
    Email author
  • A. A. Yuzhakov
    • 1
  • I. I. Besukladnikov
    • 1
  • D. N. Trushnikov
    • 1
  1. 1.Perm National Research Polytechnic UniversityPermRussia

Personalised recommendations