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Using HIL Simulation and Genetic Algorithms for Controller Tuning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F16%3APU120134" target="_blank" >RIV/00216305:26210/16:PU120134 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using HIL Simulation and Genetic Algorithms for Controller Tuning

  • Original language description

    This paper will deal with the possibilities of using the HIL (Hardware-in-the-loop) simulation in Matlab for setting the controller by genetic algorithms. The main advantage of using HIL is a possibility of endless repetition of regulation without straining the real system. This paper will compare several algorithms for an automatic adjustment of parameters of the real controller. The system is numerically simulated in MATLAB by Runge-Kutta method (RK4), as a controller was used ARM R microcontroller Cortex R M4. In addition to send an information about the system, it is also possible to send controller setup parameters from Matlab and repeat the simulation with dierent parameters. Matlab also evaluates the quality of regulation and uses algorithms to set the best parameters of the controller. The aim of this paper is to automatically set the parameters of a real controller without the user interaction.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Mendel Journal series

  • ISSN

    1803-3814

  • e-ISSN

  • Volume of the periodical

    2016

  • Issue of the periodical within the volume

    22

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    6

  • Pages from-to

    25-30

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85014956458