ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Analytical Prediction of Static Flux-Linkage Characteristics of Switched Reluctance Machine

Verma, A and Ahmad, SS and Narayanan, G (2022) Analytical Prediction of Static Flux-Linkage Characteristics of Switched Reluctance Machine. In: IEEE International Conference on "Power Electronics, Smart Grid, and Renewable Energy", PESGRE 2022, 2 - 5 January 2022, Virtual, Trivandrum.

[img] PDF
IEEE_PESGRE_2022.pdf - Published Version
Restricted to Registered users only

Download (2MB) | Request a copy
Official URL: https://doi.org/10.1109/PESGRE52268.2022.9715844

Abstract

This paper deals with the analytical prediction of static flux-linkage characteristics of switched reluctance (SR) machines at the aligned and unaligned rotor positions, which determine the torque output. Specifically, this paper proposes a novel flux-tube based approach to derive closed-form analytical expressions for the effective air-region permeance at the aligned and unaligned rotor positions in terms of machine dimensions. The proposed method does not require preliminary finite element analysis (FEA), and includes the effect of rotor pole height on the flux-linkage characteristics. The predictions by the proposed method for three different machines are compared with the results of FEA and of three existing analytical methods. The results of the proposed method are found to be accurate and comparable to those of FEA in all cases. The aligned and unaligned flux-linkage characteristics of a 10000-rpm, 5-kW SR machine, thus predicted, are verified through FEA and experiments. Correlation between machine characteristics and dimensions, combined with good accuracy and low computation time, make the proposed method a useful tool for design optimization. © 2022 IEEE

Item Type: Conference Proceedings
Publication: PESGRE 2022 - IEEE International Conference on "Power Electronics, Smart Grid, and Renewable Energy"
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Flux linkage; Forecasting; Reluctance motors, Analytical expressions; Analytical predictions; Closed form; Finite element analyse; Flux tubes; Flux-linkage characteristics; Magnetization characteristics; Rotor poles; Rotor position; Switched Reluctance Machine, Finite element method
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 19 May 2022 10:21
Last Modified: 19 May 2022 10:21
URI: https://eprints.iisc.ac.in/id/eprint/71871

Actions (login required)

View Item View Item