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NONLINEAR PREDICTIVE CONTROLLER WITH LOCAL APPROXIMATOR FOR ACTIVE MAGNETIC BEARING

Result description

Simulation study describes both behavior and learning of small active magnetic bearing control through nonlinear PD controller which uses parallel nonlinear predictive compensation, realized by local automatic approximator, which is presented further. Local approximator repeatedly uses the locally linear model based on algorithm of locally weighted regression. The goal of on‑line learning process is to minimize the mean square of control error. Obtained results are compared with results reached wiith nonlinear analytically designed PD controller. The controller used here is robust to high level noise and also able to work with relatively high delay.

Keywords

Receptive Field Weighted Regressionnonlinear PD controllernonlinear forward predictive compensatorprediction

The result's identifiers

Alternative languages

  • Result language

    angličtina

  • Original language name

    NONLINEAR PREDICTIVE CONTROLLER WITH LOCAL APPROXIMATOR FOR ACTIVE MAGNETIC BEARING

  • Original language description

    Simulation study describes both behavior and learning of small active magnetic bearing control through nonlinear PD controller which uses parallel nonlinear predictive compensation, realized by local automatic approximator, which is presented further. Local approximator repeatedly uses the locally linear model based on algorithm of locally weighted regression. The goal of on‑line learning process is to minimize the mean square of control error. Obtained results are compared with results reached wiith nonlinear analytically designed PD controller. The controller used here is robust to high level noise and also able to work with relatively high delay.

  • Czech name

    Nelineární predikující regulátor s lokálně váženým aproximátorem pro řížení aktivního magnetického ložiska

  • Czech description

    Simulační studie popisuje chování a učení řízení malého aktivného magnetického ložiska pomocí nelineárního PD regulátoru se zapojenou nelineární predikující kompenzací, realizovanou automatickým lokálním aproximátorem. Aproximátor používá lokální lineární modely založené na algoritmech lokálně vážené regrese. Jehož úkolem je, po naučení, minimalizovat regulační odchylku. Obdržený výsledek simulace řízení je porovnán s analyticky navrženým nelineárním PD regulátorem. Použitý regulátor je robustní pro vyssoké hodnoty šumu a je schopen pracovat do relativně velkých zpoždění akčního zásahu.

Classification

  • Type

    Jx - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2005

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Inženýrská mechanika - Engineering Mechanics

  • ISSN

    1210-2717

  • e-ISSN

  • Volume of the periodical

    2005

  • Issue of the periodical within the volume

    13-3

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    7

  • Pages from-to

    11-17

  • UT code for WoS article

  • EID of the result in the Scopus database

Basic information

Result type

Jx - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

Jx

CEP

JD - Use of computers, robotics and its application

Year of implementation

2005