Torque ripple minimization of switched reluctance motors based on fuzzy logic and sliding mode control

Abstract

The torque ripple reduction control of the switched reluctance motor (SRM) is generally implemented by current control, turn-on and turn-off control based on the inductance profile. Turn-off angle control, as a complex relation between motor speed and current, is required for a wide range of operating speeds. However, these methods show limited performance. This paper presents a fuzzy logic turn-off angle control scheme with a sliding mode torque control considering complex and nonlinear characteristics of SRM. Since a turn-off angle controller cannot reduce torque ripple satisfactorily in commutation region, this paper additionally applies a sliding mode torque controller. The proposed control strategy combines fuzzy logic turn-off angle control and sliding mode torque control which does not require a complex look-up table and allows a wide speed range operation. Simulation results are presented to verify the effectiveness of the proposed torque ripple minimization technique.