Model predictive direct torque control of induction machines using a two-fold state approximation strategy

Abstract

This paper presents a novel method for adopting the concept of Model Predictive Control (MPC) in Direct Torque Control (DTC) of Electrical machines. The proposed algorithm enhances the performance of a DTC controller by keeping the motor's electromagnetic torque and stator flux magnitude within predefined hysteresis bounds while minimizing the switching power losses. The MPC controller predicts the output trajectories using an explicit model of the drive. A two-fold state approximation policy limits the quantity of the admissible outputs in drawing the tree of feasible trajectories over the prediction horizon. The chains of switching sequences and relevant switching losses are identified and..