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Stator current model reference adaptive systems speed estimator for regenerating-mode low-speed operation of sensorless induction motor drives
IET electric power applications
The performance of a stator current-based model reference adaptive systems (MRAS) speed estimator for sensorless induction motor drives is investigated in this study. The measured stator currents are used as a reference model for the MRAS observer to avoid the use of a pure integrator. A two-layer, online-trained neural network stator current observer is used as the adaptive model for the MRAS estimator which requires the rotor flux information. This can be obtained from the voltage or currentdoi:10.1049/iet-epa.2013.0091 fatcat:jbiygbccczftjjxqggvocgkvla