A comparative analysis of FLC and ANFIS controller for vector controlled induction motor drive

This paper presents an adaptive neuro-fuzzy inference system (ANFIS) based speed control for indirect field oriented controlled induction motor drive. The obtaining of maximum torque and efficiency in the motor necessitates a successful nonlinear speed control method due to the non-linear structure of the system. In this work, a fuzzy logic controller (FLC) and ANFIS controller has been developed for speed control of induction motors. Parameters of ANFIS are tuned with on-line direct self-tuning method. The performance of proposed controllers has been examined in different working conditions. Simulation studies shows robustness and suitability of drive for high performance drive applications.