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


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.


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



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.”


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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

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