On-line identification of current and position stiffnesses by LMS algorithm in active magnetic bearing system equipped with force transducers

Seung-Jong Kim, Chong Won Lee

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

For on-line identification of the current and position stiffnesses in an active magnetic bearing (AMB) system equipped with four pairs of built-in radial magnetic force transducers, a modified least-mean-squares (LMS) algorithm is proposed. The algorithm, which is based on a simple linearised magnetic force equation, utilizes three kinds of measured signals, i.e. rotor displacement, control current and magnetic force. The simulation and experimental results show that the proposed algorithm is very simple and effective in adaptively identifying the current and position stiffnesses of the AMB.

Original languageEnglish
Pages (from-to)681-690
Number of pages10
JournalMechanical Systems and Signal Processing
Volume13
Issue number5
DOIs
Publication statusPublished - 1999 Jan 1
Externally publishedYes

Fingerprint

Magnetic bearings
Transducers
Stiffness
Displacement control
Rotors

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Civil and Structural Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Computer Science Applications

Cite this

@article{b53abe1e344142c5ade42e6dc4180916,
title = "On-line identification of current and position stiffnesses by LMS algorithm in active magnetic bearing system equipped with force transducers",
abstract = "For on-line identification of the current and position stiffnesses in an active magnetic bearing (AMB) system equipped with four pairs of built-in radial magnetic force transducers, a modified least-mean-squares (LMS) algorithm is proposed. The algorithm, which is based on a simple linearised magnetic force equation, utilizes three kinds of measured signals, i.e. rotor displacement, control current and magnetic force. The simulation and experimental results show that the proposed algorithm is very simple and effective in adaptively identifying the current and position stiffnesses of the AMB.",
author = "Seung-Jong Kim and Lee, {Chong Won}",
year = "1999",
month = "1",
day = "1",
doi = "10.1006/mssp.1999.1219",
language = "English",
volume = "13",
pages = "681--690",
journal = "Mechanical Systems and Signal Processing",
issn = "0888-3270",
publisher = "Academic Press Inc.",
number = "5",

}

TY - JOUR

T1 - On-line identification of current and position stiffnesses by LMS algorithm in active magnetic bearing system equipped with force transducers

AU - Kim, Seung-Jong

AU - Lee, Chong Won

PY - 1999/1/1

Y1 - 1999/1/1

N2 - For on-line identification of the current and position stiffnesses in an active magnetic bearing (AMB) system equipped with four pairs of built-in radial magnetic force transducers, a modified least-mean-squares (LMS) algorithm is proposed. The algorithm, which is based on a simple linearised magnetic force equation, utilizes three kinds of measured signals, i.e. rotor displacement, control current and magnetic force. The simulation and experimental results show that the proposed algorithm is very simple and effective in adaptively identifying the current and position stiffnesses of the AMB.

AB - For on-line identification of the current and position stiffnesses in an active magnetic bearing (AMB) system equipped with four pairs of built-in radial magnetic force transducers, a modified least-mean-squares (LMS) algorithm is proposed. The algorithm, which is based on a simple linearised magnetic force equation, utilizes three kinds of measured signals, i.e. rotor displacement, control current and magnetic force. The simulation and experimental results show that the proposed algorithm is very simple and effective in adaptively identifying the current and position stiffnesses of the AMB.

UR - http://www.scopus.com/inward/record.url?scp=0033333761&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033333761&partnerID=8YFLogxK

U2 - 10.1006/mssp.1999.1219

DO - 10.1006/mssp.1999.1219

M3 - Article

VL - 13

SP - 681

EP - 690

JO - Mechanical Systems and Signal Processing

JF - Mechanical Systems and Signal Processing

SN - 0888-3270

IS - 5

ER -