Novel improvised satin bowerbird algorithm for speed control and torque ripple minimization for switched reluctance motor

Abstract

Switched reluctance motors (SRMs) have gained a lot of popularity for adjustable speed drive systems, cost-effectiveness, and simplicity. Currently, SRMs are widely used in electric vehicles, compressors, and machine tools. In the proposed work, the satin bowerbird (SBB) algorithm is improvised and implemented to determine the optimal turn-off angle (θoff), along with gain parameters for the proportional integral (PI) controller, to regulate the speed and to enhance the torque profile of the SRM. The performance of the SRM drive is tested for 4 different control schemes with different load torque and reference speed. The control schemes are a PI controller with hysteresis current control (HCC), implemented with conventional SBB and improvised SBB (ISBB). The other control scheme is a PI controller with an improved torque sharing function (TSF) and HCC, implemented with conventional SBB and improvised SBB. The TSF used in the control scheme has been improvised with adaptive smoothing and adaptive boosting functions. For the different control schemes tested, ISBB with a PI controller and improvised TSF with HCC has resulted in better speed regulation and a 50% reduction in total harmonic distortion (THD) when compared to the control scheme constituting the conventional SBB algorithm with a PI controller and HCC. The proposed work is extended with the computation of torque rising time (Tr) and torque settling time (TS).