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

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Abstract

Due to high precision, high speed, and high fault tolerance capability, the linear switched reluctance motor (LSRM) is applied in digital control technologies as well as electronic switching devices. The LSRM is considered as a good substitute for conventional linear drive systems for long-way transportation. In this paper, a single-stator and double-stator longitudinal flux-type LSRM for high-speed transit system is proposed. Since the flux in the longitudinal arrangement is in the same alignment as the motion of the translator, the proposed system is easier to construct, mechanically stable with minimum eddy current loss. It also produces the magnetic flux along the direction of motion, which makes it highly suitable for high-speed linear transit application. The proposed conceptual LSRM differs from the conventional LSRM, in such a way that the active stator holds the excitation windings, while at the same time it acts as a translational body that moves over the stationary translator bed. The motor characterization is performed in ANSYS electromagnetic simulation tool, to determine the applied forces, coupling inductance, and strength of the magnetic field of the proposed LSRM for the traction propulsion system. The finite element analysis (FEA) is utilized here to analyze the modeled configuration, for verification of the design and performance prediction of the proposed LSRM.

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  1. Department of Electrical Engineering, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, 462007, India

    V. Shirish Murty, Shailendra Jain & Amit Ojha

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  1. V. Shirish Murty
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  2. Shailendra Jain
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  3. Amit Ojha
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Correspondence to V. Shirish Murty.

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Murty, V.S., Jain, S. & Ojha, A. Analyzing modeled configuration using finite element analysis for performance prediction of LSRM. Neural Comput & Applic 34, 21175–21189 (2022). https://doi.org/10.1007/s00521-022-07598-3

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