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

Author:

Abunike Chiweta E.12,Akuru Udochukwu B.34ORCID,Okoro Ogbonnaya I.1ORCID,Awah Chukwuemeka C.1

Affiliation:

1. Department of Electrical and Electronic Engineering, Michael Okpara University of Agriculture, Umudike 440101, Abia State, Nigeria

2. School of Engineering, University of Aberdeen, Aberdeen AB24 3UE, UK

3. Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0183, South Africa

4. Department of Electrical Engineering, University of Nigeria, Nsukka 410001, Enugu State, Nigeria

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.

Funder

2020 TETFUND National Research Fund (NRF) Intervention

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

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