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ANDRŠ, O. BŘEZINA, T. KOVÁŘ, J.
Original Title
Design of fuzzy logic controller for DC motor
Type
conference paper
Language
English
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
fuzzy logic, controller
Authors
ANDRŠ, O.; BŘEZINA, T.; KOVÁŘ, J.
RIV year
2011
Released
21. 9. 2011
Publisher
Springer
Location
Varšava
ISBN
978-3-642-23243-5
Book
Mechatronics Recent Technological and Scientific Advances
Edition
1
Edition number
Pages from
9
Pages to
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" }