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.

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. [10.23919/AEIT.2017.8240580].

Enhanced loss model algorithm for interior permanent magnet synchronous machines

Caruso M.;Di Tommaso A. O.;Miceli R.;Nevoloso C.;Spataro C.;Viola F.
2017-01-01

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.
Settore ING-IND/32 - Convertitori, Macchine E Azionamenti Elettrici
Settore ING-IND/31 - Elettrotecnica
Settore ING-INF/07 - Misure Elettriche E Elettroniche
978-8-8872-3737-5
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. [10.23919/AEIT.2017.8240580].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/420379
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