Title :
Sensorless Speed Estimation for Induction Motor based on Neural Network
Author :
Deng, Hui ; Yang, Jing ; Xu, Dianguo
Author_Institution :
Sch. of Electr. Eng. & Autom., Harbin Inst. of Technol.
Abstract :
Method of sensorless speed estimation for induction motor based on neural network has been studied. With stator currents as input and the motor speed as output, a neural network has been trained by the principle of training off-line, estimating on-line. The neural network can imitate the activity of the induction motor well and estimate the motor speed on-line. The dynamic performance of the method for induction motor fed by the pure sine wave supply or inverter was focused on. And average errors were used as a measure for evaluation of the method. Experiments have been implemented and the effectiveness of the method used was validated
Keywords :
induction motor drives; machine control; neurocontrollers; velocity control; induction motor; inverter; neural network; online estimation; sensorless speed estimation; sine wave supply; stator currents; Artificial neural networks; Automation; Electronic mail; Induction motors; Inverters; Maximum likelihood estimation; Multi-layer neural network; Neural networks; Recurrent neural networks; Stators; dynamic performance; inverter-fed; neural network; sensorless; speed estimation;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1712894
