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EnglishThis paper presents an experimental study on the impact of the parameter variations over the performances of a LMA (Loss Model Algorithm) designed for an IPMSM (Interior Permanent Magnet Synchronous Machine). In a previous work, the characterization was carried out by assessing, for several working conditions, the motor parameters that influence the motor efficiency. The proposed enhanced loss model algorithm is implemented in a rapid prototyping system and its performances, in term of efficiency, are compared with other control systems, obtaining promising results.
Caruso M., Di Tommaso A.O., Miceli R., Nevoloso C., Spataro C., & Viola F. (2017). Enhanced loss model algorithm for interior permanent magnet synchronous machines. In 2017 AEIT International Annual Conference: Infrastructures for Energy and ICT: Opportunities for Fostering Innovation, AEIT 2017 (pp. 1-6). Institute of Electrical and Electronics Engineers Inc..
| Data di pubblicazione: | 2017 | |
| Titolo: | Enhanced loss model algorithm for interior permanent magnet synchronous machines | |
| Autori: | ||
| Citazione: | Caruso M., Di Tommaso A.O., Miceli R., Nevoloso C., Spataro C., & Viola F. (2017). Enhanced loss model algorithm for interior permanent magnet synchronous machines. In 2017 AEIT International Annual Conference: Infrastructures for Energy and ICT: Opportunities for Fostering Innovation, AEIT 2017 (pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. | |
| Abstract: | This paper presents an experimental study on the impact of the parameter variations over the performances of a LMA (Loss Model Algorithm) designed for an IPMSM (Interior Permanent Magnet Synchronous Machine). In a previous work, the characterization was carried out by assessing, for several working conditions, the motor parameters that influence the motor efficiency. The proposed enhanced loss model algorithm is implemented in a rapid prototyping system and its performances, in term of efficiency, are compared with other control systems, obtaining promising results. | |
| ISBN: | 978-8-8872-3737-5 | |
| Digital Object Identifier (DOI): | 10.23919/AEIT.2017.8240580 | |
| Settore Scientifico Disciplinare: | Settore ING-IND/32 - Convertitori, Macchine E Azionamenti Elettrici Settore ING-IND/31 - Elettrotecnica Settore ING-INF/07 - Misure Elettriche E Elettroniche | |
| Appare nelle tipologie: | 2.07 Contributo in atti di convegno pubblicato in volume |
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http://hdl.handle.net/10447/420379
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