Torque ripple and noise control of switched reluctance motor using an adaptive fuzzy PI control with the aid of AR algorithm

In recent days switched reluctance motor is widely used for numerous industrial applications due to its simple structure, minimum cost and maximum efficiency. Regardless of exclusive benefits the (SRM), acoustic noise this high it important accomplish more analysis on lessening, which primary goal paper. The major causes in a SRM are torque ripple radial magnetic force. Since force highly influential by design motor, control analysed article control. Torque proposed using optimization direct (DTC) method. Nowadays, optimisation plays crucial role drives enhanced paper, artificial raindrop algorithm DTC minimise ripple. Performance ARA based four-phase 8/6 Matlab compared with performance fuzzy gain scheduling PI controller DTC.