Enhanced Weighting Factor Eliminated Predictive Torque Control of an Open End Winding Induction Motor Drive

Abstract

Predictive torque control (PTC) of induction motor drives is one of the best suitable alternatives for direct torque control (DTC). In this article, the weighting factor eliminated PTC for four-level inversion fed open end winding induction motor drive (OEWIMD) has been introduced. The major limitations of classical PTC are as follows: assignment of weighting factor due to dissimilar control objectives, tuning of weighing factors and high computational burden. To circumvent these problems, this article introduces an effective weighting factor elimination-based PTC scheme to an OEWIMD. The proposed algorithm eliminates the complex tuning process of weighting factors by classifying the cost function. The proposed PTC algorithm is simple and provides less computational burden on the controller. In the proposed PTC, the cost function is segregated and ranked accordingly to reduce flux and torque ripples. Cost function-I is formulated to obtain optimum voltage vectors to reduce flux ripples. The same voltage vectors obtained from cost function-I are used in cost function-II to maintain minimum torque ripple. Therefore, the proposed PTC reduces torque and flux ripples with a limited number of voltage vectors and maintains minimum computational burden. The effectiveness of the proposed PTC is verified through MATLAB/SIMULINK and experimentation.