Efficient reluctance network formulation for modeling design and optimization of linear hybrid motor - Archive ouverte HAL
Article Dans Une Revue IEEE Transactions on Magnetics Année : 2016

Efficient reluctance network formulation for modeling design and optimization of linear hybrid motor

Résumé

The aim of this paper is to propose an efficient and unique reluctance network (RN) model for all translator displacements ofa linear hybrid motor. This model has to consider several translator positions to analyze the linear motor performances. The proposedRN model takes into account the magnetic characteristic and the flux leakage. Consequently, the proposed model gives precise resultsof the electromagnetic characteristic. The RN model considers an interesting solution to deal quickly with an optimization task ofa large number of constraints and parameters. The developed model is coupled with sequential quadrating programming methodfor an optimization process of the linear machine. The obtained results confirm the efficiency of this method for modeling andoptimization of the linear machine.
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Dates et versions

hal-01385558 , version 1 (23-11-2020)

Identifiants

Citer

E. Manaa Barhoumi, Frédéric Wurtz, Christian Chillet, Boubker Bensalah, Olivier Chadebec. Efficient reluctance network formulation for modeling design and optimization of linear hybrid motor. IEEE Transactions on Magnetics, 2016, 52 (3), ⟨10.1109/TMAG.2015.2496730⟩. ⟨hal-01385558⟩
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