In-Situ Efficiency Estimation of Induction Motors Based on Quantum Particle Swarm Optimization-Trust Region Algorithm (QPSO-TRA)

In-Situ Efficiency Estimation of Induction Motors Based on Quantum Particle Swarm Optimization-Trust Region Algorithm (QPSO-TRA)

The accuracy estimation of induction motors’ efficiency is beneficial and crucial in the industry for energy savings. The requirement for in situ machine efficiency estimation techniques is increasing in importance because it is the precondition to making the energy-saving scheme. Currently, the tor...

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Bibliographic Details
Main Authors: Mahamadou Negue Diarra, Yifan Yao, Zhaoxuan Li, Mouhamed Niasse, Yonggang Li, Haisen Zhao
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Energies
Subjects:
in situ efficiency
induction motors
quantum particle swarm optimization
trust region algorithm
QPSO-TRA
rotor slot harmonics frequencies
Online Access:https://www.mdpi.com/1996-1073/15/13/4905

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https://www.mdpi.com/1996-1073/15/13/4905

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