Fuzzy Control of a Helio-Crane
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00210102" target="_blank" >RIV/68407700:21230/13:00210102 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s10846-012-9796-0" target="_blank" >http://dx.doi.org/10.1007/s10846-012-9796-0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10846-012-9796-0" target="_blank" >10.1007/s10846-012-9796-0</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzy Control of a Helio-Crane
Original language description
In this paper we present a comparison of two fuzzy-control approaches that were developed for use on a non-linear single-input single-output (SISO) system. The first method is Fuzzy Model Reference Learning Control (FMRLC) with a modified adaptation mechanism that tunes the fuzzy inverse model. The basic idea of this method is based on shifting the output membership functions in the fuzzy controller and in the fuzzy inverse model. The second approach is a 2 degrees-of-freedom (2 DOF) control that is based on the Takagi-Sugeno fuzzy model. The T-S fuzzy model is obtained by identification of evolving fuzzy model and then used in the feed-forward and feedback parts of the controller. An error-model predictive-control approach is used for the design of the feedback loop. The controllers were compared on a non-linear second-order SISO system named the helio-crane. We compared the performance of the reference tracking in a simulation environment and on a real system. Both methods provided a
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP103%2F12%2F1187" target="_blank" >GAP103/12/1187: Identification of Stochastic, Nonlinear Systems for Advanced Control</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Intelligent and Robotic Systems
ISSN
0921-0296
e-ISSN
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Volume of the periodical
72
Issue of the periodical within the volume
3-4
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
19
Pages from-to
497-515
UT code for WoS article
000326192300014
EID of the result in the Scopus database
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