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Adaptive Fuzzy Control of Tracking Electromechanical Systems

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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.

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REFERENCES

  1. Gostev, V.I., Perechnyi, V.N., and Sineutskii, I.V., Optimal fast control in discrete systems with saturation, Avtomatika, 1988, no. 2.

  2. Graupe, D., Identification of Systems, New York: van Nostrand Reinhold, 1972.

  3. Legotkina, T.S. and Danilova, S.A., Metody identifikatsii sistem (Methods for Systems Identification), Perm: Permsk. Gos. Tekh. Univ., 2008.

  4. Rotach, V.Ya., Teoriya avtomaticheskogo upravleniya (The Theory of Automatic Control), Moscow: Mosk. Energ. Inst., 2004.

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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.”

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Authors and Affiliations

  1. Perm National Research Polytechnic University, 614990, Perm, Russia

    Yu. N. Khizhnyakov, A. A. Yuzhakov, I. I. Besukladnikov & D. N. Trushnikov

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  1. Yu. N. Khizhnyakov
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  2. A. A. Yuzhakov
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  3. I. I. Besukladnikov
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  4. D. N. Trushnikov
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Corresponding author

Correspondence to Yu. N. Khizhnyakov.

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Translated by Yu. Zikeeva

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Khizhnyakov, Y.N., Yuzhakov, A.A., Besukladnikov, I.I. et al. Adaptive Fuzzy Control of Tracking Electromechanical Systems. Russ. Electr. Engin. 89, 648–651 (2018). https://doi.org/10.3103/S106837121811007X

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  • DOI: https://doi.org/10.3103/S106837121811007X

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