Open AccessFUZZY EXTREME SYSTEM OF AUTOMATIC ADJUSTMENT OF A RESONANCE CIRCUIT
Author(s) -
Р. Пышьев,
Р. Пышьев,
В. Г. Рубанов,
В. Г. Рубанов
Publication year - 2019
Publication title -
vestnik bgtu im. v.g. šuhova
Language(s) - English
Resource type - Journals
ISSN - 2071-7318
DOI - 10.34031/article_5d4d6a32d95185.53258375
Subject(s) - interference (communication) , computer science , robot , fuzzy logic , signal (programming language) , electronic circuit , control theory (sociology) , ground , engineering , electrical engineering , artificial intelligence , control (management) , channel (broadcasting) , telecommunications , programming language
In robotics, radio transmission can be used in communication systems that are an integral part of robots and serve to organize the exchange of information between the robot and humans or other robots in order to carry out a dialogue, formulate tasks for the robot, monitor the functioning of its systems, diagnose faults, routine checks, etc. The resonant circuit is used if it is necessary to prevent the passage of a signal of a certain frequency, passing other signals, for example, to remove the interference at a certain frequency or vice versa, to ground all signals except the desired frequency. The static characteristic of the circuit is a parabolic dependence with the presence of an extremum at the resonant frequency. In this case, by changing the parameters of the oscillating circuit or the frequency of the voltage applied to the circuit, one can observe the horizontal drift of the amplitude-frequency characteristic of the circuit. Adaptation to changes in static characteristics and their drift contributes to the construction of systems of extreme regulation. The main disadvantage of such systems is the presence of frequent actuators accompanying the search mode and the so-called “search” and “yaw” losses, which ultimately leads to a decrease in the efficiency of automatic tuning and reliability of devices for its implementation. One of the ways to reduce these negative properties is the development of extreme combined systems that use the properties of the static characteristics of the object of regulation. There is an increasing interest in improbable models of uncertainty and fuzziness, in particular, in the analysis and synthesis of fuzzy process control systems and regulators. The time and cost of designing fuzzy control systems, as shown by practical experience in developing such systems, is significantly lower than when using the traditional mathematical apparatus, and the organization of fuzzy control provides the required quality levels.