Sizing, Modeling, and Performance Comparison of Squirrel-Cage Induction and Wound-Field Flux Switching Motors

Chiweta E. Abunike, Udochukwu B. Akuru (), Ogbonnaya I. Okoro and Chukwuemeka C. Awah
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Chiweta E. Abunike: Department of Electrical and Electronic Engineering, Michael Okpara University of Agriculture, Umudike 440101, Abia State, Nigeria
Udochukwu B. Akuru: Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0183, South Africa
Ogbonnaya I. Okoro: Department of Electrical and Electronic Engineering, Michael Okpara University of Agriculture, Umudike 440101, Abia State, Nigeria
Chukwuemeka C. Awah: Department of Electrical and Electronic Engineering, Michael Okpara University of Agriculture, Umudike 440101, Abia State, Nigeria

Mathematics, 2023, vol. 11, issue 16, 1-24

Abstract: In this study, the analytical design and electromagnetic performance comparison of a squirrel-cage induction motor (SCIM) and a wound-field flux switching motor (WFFSM) for high-speed brushless industrial motor drives is undertaken for the first time. The study uses analytical sizing techniques and finite element analysis (FEA) to model and predict the performance of both motors at a 7.5 kW output power. This study includes detailed equations and algorithms for sizing and modeling of both types of motors, as well as performance calculations that aid in motor selection, design optimization, and system integration. The main findings show that the SCIM has superior torque performance for starting and overload conditions, while the WFFSM offers advantages in power factor, efficiency over a wide operating range, and potential for higher peak power output. To this end, the WFFSM is capable of high-speed and high-efficiency operation while the SCIM is suitable for applications requiring variable speed operation. The validation study shows good agreement between analytical and FEA calculations for both motors. The results provide insights into the design and performance characteristics of both motors, enabling researchers to explore innovative approaches for improving their efficiency, reliability, and overall performance.

Keywords: analytical design; brushless; finite element analysis (FEA); modeling; sizing; squirrel-cage induction motor (SCIM); wound-field flux switching motor (WFFSM) (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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