Publication detail
Design of fuzzy logic controller for DC motor
ANDRŠ, O. BŘEZINA, T. KOVÁŘ, J.
Czech title
Design of fuzzy logic controller for DC motor
English title
Design of fuzzy logic controller for DC motor
Type
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.
Czech 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.
English 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 Czech
fuzzy logic, controller
Keywords in English
fuzzy logic, controller
RIV year
2011
Released
21.09.2011
Publisher
Springer
Location
Varšava
ISBN
978-3-642-23243-5
Book
Mechatronics Recent Technological and Scientific Advances
Edition number
1
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",
month="September",
pages="9--18",
publisher="Springer",
address="Varšava",
isbn="978-3-642-23243-5"
}