Adaptive Fuzzy Control of Tracking Electromechanical Systems

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...

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Bibliographic Details
Published inRussian electrical engineering Vol. 89; no. 11; pp. 648 - 651
Main Authors Khizhnyakov, Yu. N., Yuzhakov, A. A., Besukladnikov, I. I., Trushnikov, D. N.
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 01.11.2018
Springer Nature B.V
Subjects
Adaptive control
Automatic control
Control methods
Engineering
Fuzzy control
Fuzzy logic
Fuzzy systems
Machines
Manufacturing
Neural networks
Processes
Tracking control
neuron-fuzzy controller
activation functions
technological process
working tool
electromechanical system
adaptive fuzzification
fuzzy implication
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Summary: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.
ISSN:1068-3712
1934-8010
DOI:10.3103/S106837121811007X