FUZZY NEURAL NETWORK CONTROLLER AS A REAL TIME CONTROLLER USING PSO

Abstract

Direct current (DC) motors are commonly used to control position or speed in many applications. The speed of the DC motors is adjustable in a wide range with advantages such as easy control theorems and high performances. DC motors are used in industrial branches like transportation, electrical train, vehicle, crane, printer, drivers, paper industry in which adjustable speed and sensitive position handling are necessarily. In recent years, these applications are commonly used for household appliance in which low power and low cost are required with adjustable speed and sensitive position handling as well. In this study, permanent magnet direct current motor actuator is implemented by using fuzzy neural network structure. Particle Swarm Optimization (PSO) algorithm is used as training algorithm of fuzzy neural network controller. Learning and control in real time is executed in Matlab. Dynamic performance of the system is observed for constant and variable reference trajectory of speed.