Publication detail

NONLINEAR PREDICTIVE CONTROLLER WITH LOCAL APPROXIMATOR FOR ACTIVE MAGNETIC BEARING

PULCHART, J., BŘEZINA, T., TUREK, M.

Original Title

NONLINEAR PREDICTIVE CONTROLLER WITH LOCAL APPROXIMATOR FOR ACTIVE MAGNETIC BEARING

Type

journal article - other

Language

English

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

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

Authors

PULCHART, J., BŘEZINA, T., TUREK, M.

RIV year

2005

Released

20. 9. 2005

Publisher

Enginering Academy of the Czech Republic

Location

Jabloňová 5, 621 00 Brno

ISBN

1210-2717

Periodical

Inženýrská mechanika - Engineering Mechanics

Year of study

2005

Number

13-3

State

Czech Republic

Pages from

11

Pages to

17

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"
}