Verma, A and Ahmad, SS and Narayanan, G (2023) Analytical Tool for Preliminary Design of Switched Reluctance Machine. In: 11th International Conference on Power Electronics - ECCE Asia, ICPE 2023-ECCE Asia, 22-25 May 2023, Jeju Island, Korea, Republic of, pp. 5886-5899.
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Abstract
The design of an electrical machine is a rigorous experience-based iterative process. Generally, the output torque equation of a machine, which depends on several empirical constants, is used to make the initial guess of machine dimensions, i.e., known as preliminary design, followed by multi-objective optimization for the desired requirements. The better the initial guess of machine dimensions, the lesser the effort required for optimization. The design process is more involved in the case of SRM due to its highly non-linear behavior. Typically, finite element-based software packages are used for preliminary design and optimization of SRM dimensions, which are time-consuming. In this paper, an analytical tool, independent of FEA, is developed for the preliminary design of SRM. The developed tool is used to design a 60-kW, 60000-rpm, and 600-V SRM. The design is validated through static and dynamic simulation of the machine at rated conditions. © 2023 The Korean Institute of Power Electronics.
Item Type: | Conference Paper |
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Publication: | ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Additional Information: | The copyright for this article belongs to the Institute of Electrical and Electronics Engineers Inc. |
Keywords: | Magnetic circuits; Multiobjective optimization; Power electronics; Reluctance motors; Timing circuits, Analytical tool; Electrical design; Electrical machine; Electromagnetic designs; Initial guess; Iterative process; Magnetics design; Output torque; Preliminary design; Switched Reluctance Machine, Design |
Department/Centre: | Division of Electrical Sciences > Electrical Engineering |
Date Deposited: | 24 Nov 2023 09:08 |
Last Modified: | 24 Nov 2023 09:08 |
URI: | https://eprints.iisc.ac.in/id/eprint/83222 |
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