Publication detail

NONLINEAR PREDICTIVE CONTROLLER WITH LOCAL APPROXIMATOR FOR ACTIVE MAGNETIC BEARING

PULCHART, J. BŘEZINA, T. TUREK, M.

English title

NONLINEAR PREDICTIVE CONTROLLER WITH LOCAL APPROXIMATOR FOR ACTIVE MAGNETIC BEARING

Type

Peer-reviewed article not indexed in WoS or Scopus

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.

Keywords in English

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

Released

2005-09-20

Publisher

Enginering Academy of the Czech Republic

Location

Jabloňová 5, 621 00 Brno

ISSN

1210-2717

Book

Mechatronics, robotics and biomechanics 2005

Volume

2005

Number

13-3

Pages from–to

11–

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