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

doi:10.1006/mssp.1999.1219

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 journal › Article › peer-review

28 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 language	English
Pages (from-to)	681-690
Number of pages	10
Journal	Mechanical Systems and Signal Processing
Volume	13
Issue number	5
DOIs	https://doi.org/10.1006/mssp.1999.1219
Publication status	Published - 1999 Sept
Externally published	Yes

Bibliographical note

Funding Information:
The authors greatly acknowledge the "nancial support of Korea Science and Engineering Foundation (Grant No. KOSEF 941-1000-013-2) for the experimental set-up.

ASJC Scopus subject areas

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

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10.1006/mssp.1999.1219

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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.",

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AU - Kim, Seung Jong

AU - Lee, Chong Won

N1 - Funding Information: The authors greatly acknowledge the "nancial support of Korea Science and Engineering Foundation (Grant No. KOSEF 941-1000-013-2) for the experimental set-up.

PY - 1999/9

Y1 - 1999/9

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.

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

Abstract

Bibliographical note

ASJC Scopus subject areas

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