Method of Implementing a Fuzzy Logic Controller by Hardware

Abstract

This paper describes one of the approaches to the implementation of intelligent control systems based on the theory of fuzzy sets. The fuzzy logic controller is applied on the basis of universal programmable logic controllers (PLCs) and implements control procedures for a low-power electric drive. The Mamdani algorithm was chosen as the most universal fuzzy inference algorithm. The results of the operation of a fuzzy controller that controls the speed of rotation of the motor shaft are presented and analyzed. A comparative analysis of the data obtained experimentally on a PLC with the simulation results obtained in the Matlab engineering computing environment has been carried out. The expediency of using the selected method of controlling the electric motor is shown, and the features of configuring a fuzzy logic controller are demonstrated, taking into account the selected hardware platform and its limitations. The possible options of further application of the simplest hardware and software platforms in the implementation of complex control laws are identified and analyzed