Adaptive Neural Fuzzy Inference Systems Controller for Imaginary Space Vector Pulse Width Modulation Based Vector Controlled Induction Motor Drives

摘要

High performance electrical drives requires suitable control method, even when the load and parameters of the motor are varying during the motion. This paper proposes Adaptive Neural Fuzzy Inference Systems (ANFIS) controller for space vector pulse width modulation based vector controlled induction motor drives. This paper also deals with the development of space vector pulse width modulation (SVPWM) algorithm using the concept of imaginary switching times for the generation of gating pulses. The proposed algorithm does not need the calculation of sector and angle information. To validate the proposed algorithm, simulation studies have been carried out and compared with PI controller based vector control of induction motor.