JOURNAL ARTICLE
Study and Design of an Asynchronous Electrical Machine with Inverted Construction.
Published In: Electrotehnica, Electronica, Automatica, 2025, v. 73, n. 2. P. 3 1 of 3
Database: Applied Science & Technology Source Ultimate 2 of 3
Authored By: IGNAT, Mircea; PÎSLARU–DĂNESCU, Lucian; STOICA, Victor 3 of 3
Abstract
The paper refers to the study, design and some trials and tests of a 1 kW high-speed three-phase asynchronous electric machine that is achieved in inverted construction. This electric machine is in inverted construction that is with the rotor on the outside. The rotor of the electric machine is in a copper cage, to increase efficiency and space saving. Electrical tests were performed in motor and electric generator mode. Finite element modelling of the magnetic field was done in FEMM. Dynamic balancing tests were also performed. Mechanical stresses were analysed, and thermal stress calculations were performed. The control of the inverted high-speed asynchronous machine at variable speed was done with a frequency converter. The practical and theoretical results obtained prove a solid construction of the electric machine at variable frequencies, from o to 100 Hz. The three-phase asynchronous electric machines in inverted construction have several advantages, such as high efficiency and space saving. This advantages that make them viable for important specific applications, such as aircraft and electric vehicles. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Electrotehnica, Electronica, Automatica. 2025/04, Vol. 73, Issue 2, p3
- Document Type:Article
- Subject Area:Environmental Sciences
- Publication Date:2025
- ISSN:15825175
- DOI:10.46904/eea.25.73.2.1108001
- Accession Number:186349091
- Copyright Statement:Copyright of Electrotehnica, Electronica, Automatica is the property of ICPE SA (Editura Electra) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.