Predictive direct torque and flux control of an induction motor drive based on multilevel converter approach

Abstract EN

The paper presents a predictive direct flux and torque control of an induction machine based on finite states space model.

The proposed control algorithm selects the switching state of the inverter that minimizes the quadratic error between torque and flux predictions to their computed values for all different voltage vectors.

The optimal voltage vector that minimizes a cost function is then applied to the terminal of the induction machine.

The proposed predictive control uses only one sample time and it is associated at first to a two-level voltage inverter then extended to a three-level converter.

The strategy is very intuitive since it is very simple and provides best performances compared to other control laws.