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Adaptive fuzzy sliding mode control for electro-hydraulic servo mechanism

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00193453" target="_blank" >RIV/68407700:21230/12:00193453 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.eswa.2012.02.172" target="_blank" >http://dx.doi.org/10.1016/j.eswa.2012.02.172</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.eswa.2012.02.172" target="_blank" >10.1016/j.eswa.2012.02.172</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Adaptive fuzzy sliding mode control for electro-hydraulic servo mechanism

  • Original language description

    An innovative approach to adaptive fuzzy sliding mode control for a~class of SISO continuous nonlinear systems with unknown dynamics and bounded disturbances is introduced in this paper. The main idea of the presented method consists in the introductionof the fuzzy self-tuning mechanism for adaptation of the sliding mode control parameters -- extended feedback and switching gains. Such modification reduces the well-known chattering problem in classical sliding mode control. In comparison with the otheralgorithms eliminating this problem the proposed method results in faster convergence and more transparent and interpretable design of self-tuning mechanism. Moreover, the proposed method guaranteing the asymptotic reference signal tracking with boundedsystem signals can be easily implemented to high order systems. The performance of the presented control design is demonstrated on control of a nonlinear electro-hydraulic servo mechanism.

  • 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

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal on Expert Systems with Applications

  • ISSN

    0957-4174

  • e-ISSN

  • Volume of the periodical

    39

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

    10269-10277

  • UT code for WoS article

    000303300900030

  • EID of the result in the Scopus database