Publication detail

NONLINEAR PREDICTIVE CONTROLLER WITH LOCAL APPROXIMATOR FOR ACTIVE MAGNETIC BEARING

PULCHART, J. BŘEZINA, T. TUREK, M.

Czech title

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

English title

NONLINEAR PREDICTIVE CONTROLLER WITH LOCAL APPROXIMATOR FOR ACTIVE MAGNETIC BEARING

Type

journal article - other

Language

en

Original abstract

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 with 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 abstract

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 vysoké hodnoty šumu a je schopen pracovat do relativně velkých zpoždění akčního zásahu.

English abstract

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 with 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 in English

Receptive Field Weighted Regression, nonlinear PD controller, nonlinear forward predictive compensator, prediction.

RIV year

2005

Released

20.09.2005

Publisher

Enginering Academy of the Czech Republic

Location

Jabloňová 5, 621 00 Brno

ISSN

1210-2717

Book

Mechatronics, robotics and biomechanics 2005

Journal

Inženýrská mechanika - Engineering Mechanics

Volume

2005

Number

13-3

Pages count

7

BIBTEX


@article{BUT42744,
  author="Jaroslav {Pulchart} and Tomáš {Březina} and Milan {Turek},
  title="NONLINEAR PREDICTIVE CONTROLLER WITH LOCAL APPROXIMATOR FOR ACTIVE MAGNETIC BEARING",
  journal="Inženýrská mechanika - Engineering Mechanics",
  booktitle="Mechatronics, robotics and biomechanics 2005",
  year="2005",
  volume="2005",
  number="13-3",
  month="September",
  publisher="Enginering Academy of the Czech Republic",
  address="Jabloňová 5, 621 00 Brno",
  issn="1210-2717"
}