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Improving Active Magnetic Bearing system Performance using Recursive Least Square Method

Authors: Esref Turker; Alan Harvey;

Improving Active Magnetic Bearing system Performance using Recursive Least Square Method

Abstract

Active Magnetic Bearing (AMB) is used for high rotational speed applications. A complete system consists of an actuator, power amplifier, a position sensor and a control system. In this paper, a forward control strategy algorithm for improving performance of active magnetic bearings system is investigated. The developed control algorithm uses a Recursive Least Square technique. Two types of nulling are implemented, displacement nulling and current nulling. The displacement nulling method cancels displacements measured by the sensor signals. The current nulling method is used to cancel disturbances in the power amplifier current signals. The developed algorithms were experimentally tested and the results showed significant performance improvements.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
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