DocumentCode :
3135413
Title :
Speed estimation of induction motor based on neural network
Author :
Xiaoting, Ye ; Qingchun, Zhang ; Tao, Zhang
Author_Institution :
Fac. of Electron. & Electr. Eng, Huaiyin Inst. of Technol., Huaiyin, China
Volume :
2
fYear :
2011
fDate :
25-28 July 2011
Firstpage :
619
Lastpage :
623
Abstract :
According to the mathematic model of induction motor, a new method of speed estimation based on the neural network was presented in this paper. Based on the traditional adaptive system, the neural network replaces the original organization used in the speed-sensorless vector control system. A kind of new method of speed estimation based on the neural network, and the structure and learning algorithm of the neural network were proposed. The designed method has the advantages of simple structure and good robustness. The simulation result showed that the new method could accurately track the variation of the motor speed and had good performance.
Keywords :
adaptive control; angular velocity control; induction motors; machine vector control; neurocontrollers; sensorless machine control; adaptive system; induction motor; mathematic model; motor speed; neural network; speed estimation; speed sensorless vector control system; Biological neural networks; Estimation; Induction motors; Mathematical model; Pi control; Rotors; Stators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0813-8
Type :
conf
DOI :
10.1109/ICICIP.2011.6008324
Filename :
6008324
Link To Document :
بازگشت