System-level motor drive modelling for optimization-based designs

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

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2019 21st European Conference on Power Electronics and Applications, EPE 2019 ECCE Europe
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9789075815313
DOIs
Publication statusPublished - Sep 2019
Externally publishedYes
Event21st European Conference on Power Electronics and Applications, EPE 2019 ECCE Europe - Genova, Italy
Duration: 3 Sep 20195 Sep 2019

Publication series

Name2019 21st European Conference on Power Electronics and Applications, EPE 2019 ECCE Europe

Conference

Conference21st European Conference on Power Electronics and Applications, EPE 2019 ECCE Europe
Country/TerritoryItaly
CityGenova
Period3/09/195/09/19

Keywords

  • Modelling
  • Permanent magnet motor
  • System integration
  • Variable speed drive
  • Voltage Source Converter (VSC)

ASJC Scopus subject areas

  • Mechanical Engineering
  • Electronic, Optical and Magnetic Materials
  • Control and Optimization
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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