an improved strategy for torque ripple reduction of dual three-phase brushless dc motor fed by two diode-clamped, three-level inverters using model predictive control

Multiphase electric motors are useful for industrial and military applications that need high power, fault tolerance control, smooth torque, and the ability to share power and torque compared to conventional three-phase electric motors. one type of multiphase electric machine is brushless dc motors (bldcm) which uses conventional strategies such as hysteresis current controllers. it has important challenges such as high torque ripple, low efficiency, vibrations, and noise that are undesirable for high power applications such as submarines. this paper proposes a new finite control set model predictive control (fcs-mpc) approach with reduction of computational for diode-clamped three-level (dc3l) inverter fed to dual three-phase bldcm (dtp-bldcm) by selecting optimal vectors to solve the above problems. also, an approach of balancing the voltage of the capacitors in two of the dc3l inverters to reduce torque ripple has been proposed. the results of the suggested mpc method are contrasted and verified with the multiband hysteresis current (mhc) method through simulation. the simulation results specify that the suggested mpc controller works superior than the mhc controller. also, due to the simplicity and low complexity of the suggested mpc strategy used, the real implementation possibility and performance of the controller are checked by simulations for a 4125-v/2.7-mw/350-rpm dtp-bldcm.