Detail publikace

APPLICATION OF LWR COMPENSATOR FOR ACTIVE MAGNETIC BEARING CONTROL

BŘEZINA, T. PULCHART, J. KREJSA, J.

Český název

APPLICATION OF LWR COMPENSATOR FOR ACTIVE MAGNETIC BEARING CONTROL

Anglický název

APPLICATION OF LWR COMPENSATOR FOR ACTIVE MAGNETIC BEARING CONTROL

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

en

Originální abstrakt

The active magnetic bearing (AMB) control is a complex problem, as it is fast, unstable and nonlinear system. The contribution deals with the simulation verification of AMB control using conventional PSD controller with nonlinear forward compensator. The automated universal approximator based on locally weighted learning (namely Receptive Field Weighted Regression – RFWR method) is used as the compensator. The paper shows the improvement of control quality criterion over conventional controller (approx. 2.5x) and furthermore the results of test of robustness against overtraining, when control is not disturbed by noise; test of robustness against the noise; test of robustness against the action delay and test of robustness against noise and action delay combination.

Český abstrakt

The active magnetic bearing (AMB) control is a complex problem, as it is fast, unstable and nonlinear system. The contribution deals with the simulation verification of AMB control using conventional PSD controller with nonlinear forward compensator. The automated universal approximator based on locally weighted learning (namely Receptive Field Weighted Regression – RFWR method) is used as the compensator. The paper shows the improvement of control quality criterion over conventional controller (approx. 2.5x) and furthermore the results of test of robustness against overtraining, when control is not disturbed by noise; test of robustness against the noise; test of robustness against the action delay and test of robustness against noise and action delay combination.

Anglický abstrakt

The active magnetic bearing (AMB) control is a complex problem, as it is fast, unstable and nonlinear system. The contribution deals with the simulation verification of AMB control using conventional PSD controller with nonlinear forward compensator. The automated universal approximator based on locally weighted learning (namely Receptive Field Weighted Regression – RFWR method) is used as the compensator. The paper shows the improvement of control quality criterion over conventional controller (approx. 2.5x) and furthermore the results of test of robustness against overtraining, when control is not disturbed by noise; test of robustness against the noise; test of robustness against the action delay and test of robustness against noise and action delay combination.

Klíčová slova anglicky

Active magnetic bearing, control, forward compensator, RFWR

Rok RIV

2004

Vydáno

07.07.2004

Nakladatel

Czech Technical University in Prague , Faculty of Mechanical Engineering Prague, Czech Republic

Místo

Praha

ISBN

80-01-03088-1

Kniha

3rd Internatiomal Congress on Mechatronics MECH2K4

Počet stran

15

BIBTEX


@inproceedings{BUT12459,
  author="Tomáš {Březina} and Jaroslav {Pulchart} and Jiří {Krejsa},
  title="APPLICATION OF LWR COMPENSATOR FOR ACTIVE MAGNETIC BEARING CONTROL",
  booktitle="3rd Internatiomal Congress on Mechatronics MECH2K4",
  year="2004",
  month="July",
  publisher="Czech Technical University in Prague , Faculty of Mechanical Engineering Prague, Czech Republic",
  address="Praha",
  isbn="80-01-03088-1"
}