High performance current control for switched reluctance motors with on-line modeling

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 8/6 550 W SRM.