Fuzzy-Logic-Based Control for Induction Motor Drive with the Consideration of Core Loss

This paper presents a novel speed control technique of induction motor (IM) drive with the consideration of core loss. Previous works on field-oriented control of induction motor mainly focus on the simplified equivalent circuit by neglecting the core loss. Thus the designed PI and fuzzy constants of the controller without core loss may not work properly under the wide operating range, such as variation of load, variation of reference speed, variation of reference flux, etc. Considering the real time effect of core loss, the present work formulates the nonlinear model of the induction motor drive. The complete vector control scheme of the IM drive incorporating the FLC is simulated for a squirrel-cage IM using Matlab/Simulink. The performance of the proposed FLC-based IM drive is investigated and compared to those obtained from the conventional proportional-integral (PI) controller-based drive at various dynamic operating conditions, such as, sudden change in command speed, step change in load, etc. The obtained results confirm the effectiveness of the vector controlled induction motor drive system with the consideration of core loss