SIMULATION STUDY OF ANFIS CONTROLLER FOR SENSORLESS INDUCTION MOTOR DRIVES AT LOW SPEEDS

Abstract

In this paper, a novel Adaptive Neuro Fuzzy
Inference System (ANFIS) is proposed for indirect vector
controlled induction motor drives. This proposed ANFIS
controller is used in the adaptation mechanism of the
conventional model reference adaptive system. This Neuro
Fuzzy observer is trained with hybrid algorithm. A
comparative study between PI, Fuzzy and ANFIS based
MRAS is carried out in low and zero speed operating
regions. Simulation is carried out in Matlab/Simulink
environment. Simulation study shows that robustness and
stability of the system is better with ANFIS based MRAS
system.