System-Level Motor Drive Modelling for Optimization-based Designs

Cheong, Benjamin; Giangrande, Paolo; Zhang, Xiaochen; Galea, Michael; Zanchetta, Pericle; Wheeler, Patrick

Abstract

To achieve optimal system weight and efficiency, the design of main components in an AC motor drive (electric machine and power converter) have to be optimized together. This is challenging considering the multiphysics and complex nature of its operation and interactions between the components. There are few papers that address a formal approach towards this design optimization for motor drives at a system-level. This paper aims to fill this gap by presenting a fast and accurate system-level motor drive model, for use in an optimization-based design approach. At a system-level, the presented model is able to consider several aspects of machine-converter interactions. The model is fully analytical, making it very computationally efficient, and its accuracy is validated using a back-to-back motor-drive test setup.

Citation

Cheong, B., Giangrande, P., Zhang, X., Galea, M., Zanchetta, P., & Wheeler, P. (2019). System-Level Motor Drive Modelling for Optimization-based Designs. https://doi.org/10.23919/EPE.2019.8914883

• Conference Name: 2019 21st European Conference on Power Electronics and Applications (EPE '19 ECCE Europe)
• Start Date: Sep 3, 2019
• End Date: Sep 5, 2019
• Acceptance Date: Mar 1, 2019
• Online Publication Date: Nov 28, 2020
• Publication Date: Sep 3, 2019
• Deposit Date: Mar 5, 2020
• Publicly Available Date: Mar 9, 2020
• Publisher: Institute of Electrical and Electronics Engineers
• ISBN: 9789075815313
• DOI: https://doi.org/10.23919/EPE.2019.8914883
• Keywords: Variable speed drive, Modelling, Permanent magnet motor, Voltage Source Converter, System integration
• Public URL: https://nottingham-repository.worktribe.com/output/4094776
• Publisher URL: https://ieeexplore.ieee.org/document/8914883
• Additional Information: © 2019 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.