Design of fuzzy logic controller for DC motor
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F11%3APU93948" target="_blank" >RIV/00216305:26210/11:PU93948 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Design of fuzzy logic controller for DC motor
Original language description
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 aninput 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 name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JR - Other machinery industry
OECD FORD branch
—
Result continuities
Project
—
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mechatronics Recent Technological and Scientific Advances
ISBN
978-3-642-23243-5
ISSN
—
e-ISSN
—
Number of pages
10
Pages from-to
9-18
Publisher name
Springer
Place of publication
Varšava
Event location
Varšava
Event date
Sep 21, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—