Power Loss and Performance Analysis of a Permanent Magnet Synchronous Motor for Actuator Applications

Tameemi, Ahmed; Degano, Michele; Di Nardo, Mauro; Murataliyev, Mukhammed; Gerada, David; Xu, Zeyuan; Gerada, Chris

Abstract

Permanent magnet synchronous motors are very suitable in applications demanding high power density with high performance requirements, such as in aerospace actuators. Achieving high performance targets while keeping the total weight of the electrical machine to minimum values is quite challenging and requires an ideal machine design with a comprehensive understanding of power losses. As a result, this paper focuses on a detailed investigation of losses and machine performance, taking into account different operating conditions. Furthermore, 3D FE models were used in this work to accurately predict eddy current losses in the rotor components. Finally, the experimental findings obtained from the prototype are provided to highlight the efficiency of the developed numerical models and to verify the machine design. The analysis results are in good agreement with the experimental results with a maximum 3.2% error in terms of efficiency.

Citation

Tameemi, A., Degano, M., Di Nardo, M., Murataliyev, M., Gerada, D., Xu, Z., & Gerada, C. (2022, September). Power Loss and Performance Analysis of a Permanent Magnet Synchronous Motor for Actuator Applications. Presented at 2022 International Conference on Electrical Machines (ICEM), Valencia, Spain

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2022 International Conference on Electrical Machines (ICEM)
• Start Date: Sep 5, 2022
• End Date: Sep 8, 2022
• Acceptance Date: May 30, 2022
• Online Publication Date: Oct 13, 2022
• Publication Date: Sep 5, 2022
• Deposit Date: Jan 5, 2023
• Publicly Available Date: Jan 18, 2023
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Pages: 807-813
• Book Title: 2022 International Conference on Electrical Machines (ICEM)
• ISBN: 9781665414333
• DOI: https://doi.org/10.1109/icem51905.2022.9910911
• Public URL: https://nottingham-repository.worktribe.com/output/12888364
• Publisher URL: https://ieeexplore.ieee.org/document/9910911
• Additional Information: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.