Model predictive control using a three-level inverter for induction motors with torque ripple reduction

This paper proposes an improved model predictive control (MPC) algorithm for the direct torque and flux control of induction motors (IMs) using the three- level inverter. To reduce the calculation amount, which is the drawback of MPC, first the reference value and the state of the motor are analyzed to preselect the calculation region for the cost function; by only subdividing the voltage vectors in the selected region, the reference voltage vector is selected by the MPC algorithm. The selected voltage vector applies the output voltage to the actual system through the space vector modulation (SVM) method. Even though the proposed MPC algorithm has a slight increase of calculation compared to the conventional MPC, it can control the induction motor more precisely. The effectiveness of the proposed MPC method is verified through simulation. The simulation result proves that new strategies provides low torque ripple performance.