Laboratory bench to analyze of automatic control system with a fuzzy controller

Abstract

Currently, there are a large number of automation objects in industry, the management of which by traditional methods is impossible due to insufficient information in terms of their properties, useful signals and noise acting on them. The presence of uncertain or fuzzy information leads to the fact that traditional quantitative methods used in the theory of automatic control are not effective enough. As a result, difficulties aris in the identification of the automation object and the formation of control algorithms for them. One of the ways to overcome these difficulties is to use fuzzy concepts and knowledge, conduct operations using fuzzy logical rules and obtain fuzzy conclusions based on them that allow to generate sequences of actions on a managed object [2].