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Online Modeling for Switched Reluctance Motors Using B-Spline Neural Networks.
- Source :
-
IEEE Transactions on Industrial Electronics . Dec2007, Vol. 54 Issue 6, p3317-3322. 6p. 4 Black and White Photographs, 5 Graphs. - Publication Year :
- 2007
-
Abstract
- A novel online-modeling scheme for the switched reluctance motor (SRM) using a B-spline neural network (BSNN) is proposed in this paper. A 2-D BSNN is designed to learn the nonlinear-flux-linkage characteristic of an SRM online and in real-time. Torque, incremental inductance, and back-emf estimates can be derived from the BSNN after training. The scheme does not require a priori knowledge of the SRM electromagnetic characteristics. Simulation and experimental results show that the scheme has a good estimation performance and robustness at low to medium motor speed. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02780046
- Volume :
- 54
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Industrial Electronics
- Publication Type :
- Academic Journal
- Accession number :
- 28110284
- Full Text :
- https://doi.org/10.1109/TIE.2007.904009