Detail publikace

NONLINEAR PREDICTIVE CONTROLLER WITH LOCAL APPROXIMATOR FOR ACTIVE MAGNETIC BEARING

PULCHART, J. BŘEZINA, T. TUREK, M.

Anglický název

NONLINEAR PREDICTIVE CONTROLLER WITH LOCAL APPROXIMATOR FOR ACTIVE MAGNETIC BEARING

Typ

Článek recenzovaný mimo WoS a Scopus

Jazyk

en

Originální abstrakt

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.

Klíčová slova anglicky

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

Vydáno

2005-09-20

Nakladatel

Enginering Academy of the Czech Republic

Místo

Jabloňová 5, 621 00 Brno

ISSN

1210-2717

Kniha

Mechatronics, robotics and biomechanics 2005

Ročník

2005

Číslo

13-3

Strany od–do

11–

Počet stran

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",
  year="2005",
  volume="2005",
  number="13-3",
  pages="7",
  issn="1210-2717"
}