Predictive Torque Control of Induction Motor Drive with Simplified Weighting Factor Selection

PTC is a kind of finite control set model predictive control (FCS-MPC) technique gaining its attention in highperformance electric drive applications due to its intuitive concepts and simple structure. Further, additional control parameters (switching frequency, common mode voltage etc.) can be directly included into the objective-function of the control algorithm. However, suitable weighting factors are required to maintain the relative balance between diverse control parameters used in the objective-function. Stator flux and torque are used as control parameters in the implementation of conventional PTC and the empirical process is used to obtain the suitable weighting factor in the objective-function. To avoid this problem, simple additive weighting (SAW) method is introduced in the objectivefunction of PTC and this method simplifies the selection of weighting factors in the objective-function. To reduce the average switching frequency and computational burden present in the conventional PTC used for a 2-level VSI fed induction motor drive; four appropriate switching states are used to obtain the optimal control action instead of eight switching states of 2-level VSI. Simulation results are presented for the proposed control algorithm and these results confirm the effectiveness of proposed control algorithm compared conventional PTC with reduced switching frequency.