Analyzing modeled configuration using finite element analysis for performance prediction of LSRM

Murty, V. S.; Jain, Shailendra; Ojha, Amit

doi:10.1007/s00521-022-07598-3

Neural Comput & Applic

2022

DOI: 10.1007/s00521-022-07598-3

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Analyzing modeled configuration using finite element analysis for performance prediction of LSRM

V. S. Murty

Shailendra Jain

Amit Ojha

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2024

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Cited by 1 publication

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A Numerical Method to Determine the Radial Electromagnetic Force of the Switched Reluctance Motor Under Air Gap Eccentricity

Ma,

Deng,

Liu

et al. 2024

Machines

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This paper discusses a numerical model for determining the radial electromagnetic force of switched reluctance motors under air gap eccentricity (vertical and tilt eccentricities). The authors compare experimental and simulation results to demonstrate that the proposed model can accurately simulate the behavior of radial forces in switched reluctance motors under various types of air gap eccentricity. Moreover, the paper attempts to establish a dynamic model of the SRM and nalyze the performance of the radial electromagnetic force under air gap eccentricity in typical scenarios.

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A Numerical Method to Determine the Radial Electromagnetic Force of the Switched Reluctance Motor Under Air Gap Eccentricity

Ma,

Deng,

Liu

et al. 2024

Machines

View full text Add to dashboard Cite

show abstract

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Analyzing modeled configuration using finite element analysis for performance prediction of LSRM

Cited by 1 publication

References 25 publications

A Numerical Method to Determine the Radial Electromagnetic Force of the Switched Reluctance Motor Under Air Gap Eccentricity

A Numerical Method to Determine the Radial Electromagnetic Force of the Switched Reluctance Motor Under Air Gap Eccentricity

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