Simulation study of ANFIS controller for sensorless induction motor drives at low speeds [articol]

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.