Model predictive duty based torque and flux ripples minimization of induction motor drive

This paper presents a duty cycle prediction scheme to be used in model predictive control (MPC) to minimize both torque and flux ripples of an induction motor (IM) drive. The duty cycle is predicted using the model of the IM, whereas analytical calculations are used in all of the prior duty cycle control methods. To minimize both torque and flux ripples, two different cost functions are used: one for voltage vector selection and another one for duty cycle prediction. Since the selection of the cost function in MPC is not a straightforward task, the proposed control strategy reduces the dependency on the selection of cost function while minimizing torque and flux ripples significantly. The commutation frequency of inverter is also reduced. Simulation results have revealed that, the proposed controller reduces the torque ripple and average switching frequency by 56% and 21%, respectively while keeping the flux performance.