DTC with adaptive stator flux observer and stator resistance estimator for induction motors

This paper describes a robust full-order adaptive stator flux observer is designed for a speed sensorless DTC system and a new speed-adaptive law and a stator resistance adaptive law are given. Furthermore, dynamic neural network is used to design the observer gain matrix and the gain matrix can be adjusted on-line. The stability of observer is guaranteed by the gain matrix in the whole speed range. Finally, the effectiveness and validity of the proposed control approach is verified by computer simulation results.