Displacement Estimation of Six-Pole Hybrid Magnetic Bearing Using Modified Particle Swarm Optimization Support Vector Machine

Displacement Estimation of Six-Pole Hybrid Magnetic Bearing Using Modified Particle Swarm Optimization Support Vector Machine

In order to solve the problems of the large volume and high cost of a six-pole hybrid magnetic bearing (SHMB) with displacement sensors, a displacement estimation method using a modified particle swarm optimization (MPSO) least-squares support vector machine (LS-SVM) is proposed. Firstly, the inerti...

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Bibliographic Details
Main Authors: Gai Liu, Huangqiu Zhu
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Energies
Subjects:
six-pole hybrid magnetic bearing
modified particle swarm optimization
least-squares support vector machine
displacement estimation method
Online Access:https://www.mdpi.com/1996-1073/15/5/1610

Internet

https://www.mdpi.com/1996-1073/15/5/1610

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