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Computational-Time Reduction of Fourier-Based Analytical Models.
- Source :
-
IEEE Transactions on Energy Conversion . Mar2018, Vol. 33 Issue 1, p281-289. 9p. - Publication Year :
- 2018
-
Abstract
- An increasing interest in both efficient electric machines and more extensive control strategies demands evermore faster simulation tools. In that context, Fourier-based models, which combine low computational times with a high accuracy, have already proven their value. However, even Fourier-based models may encounter problems related to CPU usage. To cope with these problems the authors present a number of simple techniques to reduce the computational effort of Fourier-based models for synchronous machines. The techniques are based on simplifying the studied geometry and a qualitative analysis of the machine's time- and spatial-harmonic content. The proposed techniques are validated and a benchmark test has shown that a great reduction in computational burden can be achieved without significant loss of accuracy. The preliminary harmonic analysis gives, by far, the largest reduction of the computational burden. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ELECTRIC machinery
*COMPUTER simulation
*SYNCHRONOUS electric motors
Subjects
Details
- Language :
- English
- ISSN :
- 08858969
- Volume :
- 33
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Energy Conversion
- Publication Type :
- Academic Journal
- Accession number :
- 128115430
- Full Text :
- https://doi.org/10.1109/TEC.2017.2737527