Adaptive fuzzy logic control for five-phase asynchronous machine

Eginnering School, University of Quebec at Abitibi-Temiscamingue, Quebec, Canada

^* Corresponding author: abdelhak.mehadjbia@uqat.ca

Abstract

This study investigates the application of adaptive fuzzy control (AFC) to a five-phase induction machine. Unlike classical approaches such as vector control or static fuzzy logic, AFC dynamically adapts to parameter variations and external disturbances. Simulation results show that the proposed controller achieves enhanced dynamic performance during transients, perfect decoupling between torque and flux, and fast disturbance rejection within 0.1 s. Under a resistive load of 20 N·m, the rotor speed precisely tracks the reference model without overshoot or steady-state error, even when the rotor resistance varies by up to 200%. The system maintains stable flux dynamics and robustness against internal and external perturbations. These findings highlight AFC as a highly effective solution for complex electromechanical systems requiring precision, stability, and reliability under varying operating conditions.