Detail publikace
Design of fuzzy logic controller for DC motor
ANDRŠ, O. BŘEZINA, T. KOVÁŘ, J.
Anglický název
Design of fuzzy logic controller for DC motor
Typ
Stať ve sborníku v databázi WoS či Scopus
Jazyk
en
Originální abstrakt
This contribution presents a simple and efficient approach to the fuzzy logic controller design and simulation. The proposed controller uses a Sugeno type fuzzy inference system (FIS) which is derived from discrete position state-space controller with an input integrator. The controller design meth-od is based on anfis (adaptive neuro-fuzzy inference system) training rou-tine. It utilizes a combination of the least-squares method and the back-propagation gradient descent method for training FIS membership function parameters to emulate a given training data set. The proposed fuzzy logic controller is used for the position control of a linear actuator which is a part of a Stewart platform.
Klíčová slova anglicky
fuzzy logic, controller
Vydáno
2011-09-21
Nakladatel
Springer
Místo
Varšava
ISBN
978-3-642-23243-5
Kniha
Mechatronics Recent Technological and Scientific Advances
Strany od–do
9–18
Počet stran
10
BIBTEX
@inproceedings{BUT73751,
author="Ondřej {Andrš} and Tomáš {Březina} and Jiří {Kovář}",
title="Design of fuzzy logic controller for DC motor",
booktitle="Mechatronics Recent Technological and Scientific Advances",
year="2011",
series="1",
number="1",
pages="9--18",
publisher="Springer",
address="Varšava",
isbn="978-3-642-23243-5"
}