Model Order Reduction Methods for Rotating Electrical Machines: A Review

Kristóf Levente Kiss and Tamás Orosz ()
Additional contact information
Kristóf Levente Kiss: Department of Power Electronics and Electric Drives, Széchenyi István University, 9026 Győr, Hungary
Tamás Orosz: Department of Power Electronics and Electric Drives, Széchenyi István University, 9026 Győr, Hungary

Energies, 2024, vol. 17, issue 20, 1-25

Abstract: Due to the rise of e-mobility applications, there is an increased demand to create more accurate control methods, which can reduce the loss in an e-drive system. The accurate modeling of the rotating machines needs to resolve a partial differential equation system that describes the thermal and mechanical behavior of the different parts in addition to the electromagnetic design. Due to these models’ limited resources and high computation demand, they cannot be used directly for real-time control. Model order reduction methods have been of growing interest in the past decades and offer solutions for this problem. According to the processed literature, many model order reduction-based methods are used for a wide range of problems. However, a paper has not been published that discusses a model order reduction-based real-time control model that is actually used in the industry. This paper aims to summarize and systematically review the model order reduction methods developed for rotating electrical machines in the last two decades and examine the possible usage of these methods for a real-time control problem.

Keywords: model order reduction; finite element method; electrical drives; proper orthogonal decomposition; proper generalized decomposition; orthogonal interpolation method; Cauer ladder network (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/20/5145/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/20/5145/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:20:p:5145-:d:1499866

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().