Direct torque control (DTC) of three phase Induction Motor using Model based Predictive Control (MPC) scheme deploying Branch and Bound algorithm

In this paper Model based Predictive Control (MPC) is used for torque control of three phase Induction Motor. In conventional torque control methods, a switching table is used for switching of the inverter in order to keep the torque and flux within the limits. MPC can be used to reduce the switching frequency of the inverter along with better torque and flux response. Torque and flux is predicted for next few samples and most suitable sequence is selected which causes least inverter switching. Receding horizon policy is applied in which the first switching state of the selected sequence is applied to inverter. MPC requires complex computations which limits its application. Finally a Branch and Bound algorithm is applied in order to improve its computational cost.