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.
|Title of host publication||2004 IEEE 35th Annual Power Electronics Specialists Conference|
|Number of pages||6|
|Publication status||Published - 2004|
|Event||2004 IEEE 35th Annual Power Electronics Specialists Conference - Aachen, Germany|
Duration: 20 Jun 2004 → 25 Jun 2004
|Conference||2004 IEEE 35th Annual Power Electronics Specialists Conference|
|Period||20/06/04 → 25/06/04|