Standardized Evenhanded Vector Selection Technique Used in Model Predictive Torque and Flux Controller

Abstract

Although Model Predictive Torque Control (MPTC) method is considerably noticed during recent decades in literature due to its ability to direct control of several criteria (such as torque and flux), it couldn’t find a remarkable role in industrial applications yet. The main challenge is vector selection when the focus on promoting one criterion will cause to lose the others. To solve the conflict, many different methods have been introduced such as applying online weighting factors, ranking methods, sequential methods which all have pros and cons. The proposed method has been designed to select the best vector by considering both criteria (Torque and Flux) impartially. Comparing the results shows, by applying the method, torque ripples are decreased while the other features remain unchanged.