Comparative performance analysis of different controllers for five-phase induction motor drive

Abstract

In many situations where it is necessary to reduce the total power consumption per phase while maintaining high overall system dependability, multiphase machines are widely acknowledged as an appealing substitute for traditional three-phase machines. Recent years have seen an acceleration in the field's advances, and a significant body of knowledge has been produced. Fuzzy controllers are an effective method for managing complex processes. However, its characteristic changes across wide variations in parameters' ranges. Our research addresses this problem by using a fuzzy adaptive controller. To improve vector controlled induction Motor drive robustness and guarantee that the five-phase asynchronous machine operates consistently even in the face of disruptions (abrupt changes in the load, rotor resistance variations, and rotor inertia variations, and other factors.), control behavior model (CBM) is applied. The simulation's findings demonstrate that fuzzy adaptive control performs well and is more reliable (Rotor resistance Rr = 200%Rrn, Lm = 0.8*Lmn and J = 200%Jn) when compared to the conventional fuzzy Logic Control and as a classic controller.