A Comparative Study of Controller Performance in Five-Phase Induction Motor Drives

Abstract

In many applications where lowering the per-phase power draw while maintaining high system reliability is crucial, multiphase machines are increasingly seen as an attractive alternative to traditional three-phase machines. This trend has been strongly supported by recent research in the field. Fuzzy control techniques have proven effective for handling complex systems, but they often struggle when parameters change significantly over a broad range. Our work tackles this limitation through an adaptive fuzzy controller. In the context of vector-controlled induction motor drives and a five-phase asynchronous machine, the proposed approach deploys a control behavior model (CBM) to ensure robust performance even under abrupt load changes, rotor resistance variations and altered rotor inertia. Simulation results confirm that the adaptive fuzzy controller outperforms both standard fuzzy logic control and classical controllers, particularly in extreme parameter cases (e.g., Rr = 200 % Rrn, Lm = 0.8 × Lmn and J = 200 % J=n).