An improved multi-objective fuzzy decision based predictive torque control of induction motor drive

Abstract

Predictive torque control (PTC) gains a lot of interest lately. Although the flux-weighting factor is the only tuning parameter in PTC, its selection is not a trivial task. This paper proposes an improved multi-objective fuzzy decision based method to select the best compromise voltage vector. The salient feature of the proposed approach lies in its capability to avoid high torque ripple and the need of extra priority factors, which increase the complexity of the technique. In the proposed approach, the membership functions are normalized using the global optimal values. As a result, an efficient compromise solution between torque and flux ripples minimization is automatically achieved. An experimental set up is used to validate the proposed method. Torque ripple, flux ripple, current total harmonic distortion, and average frequency are used as criteria for performance comparison to a number of reported methods in literature. The results show considerable improvement in torque ripple with slightly increased flux ripple proving the simplicity and compromising ability of the proposed approach.