Publication detail
Design of fuzzy logic controller for DC motor
ANDRŠ, O. BŘEZINA, T. KOVÁŘ, J.
English title
Design of fuzzy logic controller for DC motor
Type
Paper in proceedings (conference paper)
Language
en
Original abstract
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.
Keywords in English
fuzzy logic, controller
Released
2011-09-21
Publisher
Springer
Location
Varšava
ISBN
978-3-642-23243-5
Book
Mechatronics Recent Technological and Scientific Advances
Pages from–to
9–18
Pages count
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"
}