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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

  • Czech description

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

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

  • 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