FUZZY NEURAL NETWORK CONTROLLER AS A REAL TIME CONTROLLER USING PSO

Year 2017, Volume: 5 Issue: 1, 15 - 22, 30.01.2017

Sıtkı Öztürk , Cihan Karakuzu , Melih Kuncan Ahmet Erdil

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.

Keywords

DC Motor Speed Control, ANFIS, Optimization

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