Adaptive Fuzzy Control of Tracking Electromechanical Systems

被引：0
|
作者：
Khizhnyakov Y.N. [1 ]
Yuzhakov A.A. [1 ]
Besukladnikov I.I. [1 ]
Trushnikov D.N. [1 ]
机构：
[1] Perm National Research Polytechnic University, Perm
来源：
Russian Electrical Engineering | 2018年 / 89卷 / 11期
关键词：
activation functions; adaptive fuzzification; electromechanical system; fuzzy implication; neuron-fuzzy controller; technological process; working tool;
D O I：
10.3103/S106837121811007X
中图分类号：
学科分类号：
摘要：
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. © 2018, Allerton Press, Inc.
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页码：648 / 651
页数：3
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