Virtual Voltage Vector-Based Deadbeat Model Predictive Torque Control for Induction Motor Drives with a Solution to Reduce Computation Burden

Abstract

Deadbeat Model Predictive Torque Control is one of the significant control methods of induction motors that in order to remove the modulator in this method, the voltage based cost function is used to opt the closest voltage vector to the reference voltage vector. By combining this control method and using virtual voltage vectors, an effective and efficient method is created. However, with the increasing in the number of voltage vectors (real or virtual), the computation burden and complexity will be increased. Therefore, in this paper, a procedure to select the best triangular section that involves of the reference voltage vector and also reducing the number of candidate voltage vectors for placing in the voltage based cost function is presented. This procedure is based on simultaneous attention to the amplitude and angle of the reference voltage vector. The validity of the proposed methods (using virtual voltage vectors and selecting triangular section) is verified by the SIMULINK/MATLAB.