FEATURES OF FUZZY CONTROL ALGORITHM IMPLEMENTATION BASED ON PROGRAMMABLE LOGIC CONTROLLERS
In the present paper, one of the approaches to the hardware implementation of intelligent control systems based on the theory of fuzzy sets is considered. The synthesis of a fuzzy logic controller is based on universal programmable logic controllers (PLCs) and implements control procedures for a low-power electric drive. The choice of the object of regulation and hardware implementing an intelligent control system was made based on the results of an analysis of market availability and technical characteristics that take into account the programming features of such systems using universal PLCs. The Mamdani algorithm was chosen as the fuzzy inference algorithm, as the most flexible, versatile and with great potential for reconfiguring defuzzification blocks. The results of the operation of a fuzzy controller regulating the speed of motor shaft rotation are presented and analyzed, a comparative analysis of the data obtained experimentally on a PLC with the simulation results in the Matlab engineering computing environment is carried out.