Referenced Items are not available for this document.
To reduce torque ripple in a switched reluctance motor (SRM) by current profiling, a high-performance current controller is necessary. This study presents a high-performance current controller for SRM drives. A B-spline neural network is used to model the non-linearity of the SRM and estimate back electromotive force (EMF) and incremental inductance on-line in real time. The on-line modelling scheme does not require a priori knowledge of the machine's electromagnetic characteristics. Based on the on-line estimated parameters, a current controller with adjustable PI gains and back-EMF decoupling is implemented. The performance of the current controller has been demonstrated in simulation and experimentally using a four-phase 8/6 550'W SRM drive system.
Published in:
Electric Power Applications, IET
(Volume:4
,
Issue:
1
)
Date of Publication: January 2010
- Page(s):
- 67 - 74
- ISSN :
- 1751-8660
- INSPEC Accession Number:
- 11050633
- Digital Object Identifier :
- 10.1049/iet-epa.2009.0016
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 15 January 2010
- Issue Date :
- January 2010
- Sponsored by :
- Institution of Engineering and Technology
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