Development of a speed neuro-fuzzy estimator for sensorless magnetizing flux oriented induction motor control

The wide use of induction motors in high-precision drives calls for more advanced control architectures. Probably the greatest progress made in recent years is the field oriented control (FOC) which allowed the induction motor to move beyond the variable-speed control of Volts per Hertz drives. This work proposes the development of an adaptive neuro-fuzzy inference system (ANFIS) angular rotor speed estimator applied to a FOC sensorless drive. An innovative multi-frequency training of ANFIS is proposed initially for an volts per hertz scheme and when the best inputs of ANFIS were chosen a drive system with magnetizing flux oriented control was proposed using the ANFIS estimator. Simulations to evaluate the performance of the estimator considering the volts per hertz and vector drive system were realized using the Matlab/Simulink software. For future validation of the proposed ANFIS estimator a bench test was constructed.