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A Hybrid Differential Artificial Bee Colony Algorithm based tuning of fractional order controller for Permanent Magnet Synchronous Motor drive

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092822" target="_blank" >RIV/61989100:27240/14:86092822 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/s13042-012-0136-2" target="_blank" >http://dx.doi.org/10.1007/s13042-012-0136-2</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s13042-012-0136-2" target="_blank" >10.1007/s13042-012-0136-2</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Hybrid Differential Artificial Bee Colony Algorithm based tuning of fractional order controller for Permanent Magnet Synchronous Motor drive

  • Original language description

    In this paper a novel Hybrid Differential Artificial Bee Colony Algorithm (HDABCA) has been proposed for designing a fractional order proportional-integral (FO-PI) speed controller in a Permanent Magnet Synchronous Motor (PMSM) drive. FO-PI controllers'parameters involve proportionality constant, integral constant and integral order, and hence its design is more complex than that of the usual Integral-order proportional-integral controller. To overcome this complexity in designing, we had used the proposed hybrid algorithm, such that all the design specifications of the motor are satisfied. In order to digitally realize the FO-PI controller, an Oustaloup approximation method has been used. Simulations and comparisons of proposed HDABCA with conventional methods and also other state-of-art methods demonstrate the competence of the proposed approach, especially for actuating fractional order controller for integer order plants. 2012 Springer-Verlag Berlin Heidelberg.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • 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 of Machine Learning and Cybernetics

  • ISSN

    1868-8071

  • e-ISSN

  • Volume of the periodical

    5

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    11

  • Pages from-to

    327-337

  • UT code for WoS article

    000348040100001

  • EID of the result in the Scopus database