Abstract
This paper presents an improved current controller for a switched reluctance motor (SRM) drive. In the proposed method, a B-spline neural network was used to model the SRM and estimate back EMF and incremental inductance on-line in real-time. The on-line modeling scheme does not require a priori knowledge of SRM's electromagnetic characteristics. Based on the on-line estimated parameters, current control with an adjustable PI controller and a back EMF decoupling technique has been implemented. The performance of the current controller has been demonstrated in simulation and experimentally using a four-phase 8/6 550W SRM.
Original language | English |
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Title of host publication | 2004 IEEE 35th Annual Power Electronics Specialists Conference |
Pages | 1246-1251 |
Number of pages | 6 |
Volume | 2 |
Publication status | Published - 2004 |
Event | 2004 IEEE 35th Annual Power Electronics Specialists Conference - Aachen, Germany Duration: 20 Jun 2004 → 25 Jun 2004 |
Conference
Conference | 2004 IEEE 35th Annual Power Electronics Specialists Conference |
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Abbreviated title | PESC04 |
Country/Territory | Germany |
City | Aachen |
Period | 20/06/04 → 25/06/04 |