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Analysis of controlled mechanism with significant nonlinearities

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F17%3A43932561" target="_blank" >RIV/49777513:23210/17:43932561 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.nnw.cz/doi/2017/NNW.2017.27.019.pdf" target="_blank" >http://www.nnw.cz/doi/2017/NNW.2017.27.019.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.14311/NNW.2017.27.019" target="_blank" >10.14311/NNW.2017.27.019</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of controlled mechanism with significant nonlinearities

  • Original language description

    Solving inverted pendulum by co-simulation between multi-body solver MotionSolve and signal processing control in solidThinking Activate. The simulation of inverted pendulum uses an innovative model of friction which is physically and mathematically more accurate than usual CAE friction models. This model of friction adds nonlinearity to the system. Two types of controlling mechanism for active balancing of inverted pendulum are used: PID and ANN controller. A non-traditional false angular deviation approach for returning a cart to its initial position was used.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20301 - Mechanical engineering

Result continuities

  • Project

    <a href="/en/project/LO1502" target="_blank" >LO1502: Development of Regional Technological Institute</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Neural Network World

  • ISSN

    1210-0552

  • e-ISSN

  • Volume of the periodical

    27

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    17

  • Pages from-to

    333-349

  • UT code for WoS article

    000410411900002

  • EID of the result in the Scopus database

    2-s2.0-85028714246