DocumentCode :
2715264
Title :
A novel method for extraction of speed from resolver output using neural network in vector control of PMSM
Author :
Gaur, Prerna ; Bhardwaj, Sumit ; Jain, Naveen ; Garg, Nipun ; Prashant, A. ; Mittal, A.P. ; Singh, Bhim
Author_Institution :
Divison of Instrum. & Control Eng., Univ. of Delhi, New Delhi, India
fYear :
2011
fDate :
28-30 Jan. 2011
Firstpage :
1
Lastpage :
7
Abstract :
The rotor position is integrant information for vector control drive system of Permanent Magnet Synchronous Motor (PMSM). In this paper, the focus is on the rotor position of PMSM detecting by the resolver sensor. The outstanding features of this sensor are its robust structure and noise insensitivity. To extract speed from the output of resolver we need R/D demodulator circuit. A new Artificial Neural Network (ANN) Algorithm is proposed in this paper in substitution for R/D circuit and implemented in the vector control drive system of PMSM. The proposed scheme has been verified by simulation and experiment using MATLAB/Simulink.
Keywords :
angular velocity control; artificial intelligence; electric sensing devices; machine vector control; neurocontrollers; permanent magnet motors; synchronous motor drives; MATLAB-Simulink; PMSM; R/D demodulator circuit; artificial neural network algorithm; noise insensitivity; permanent magnet synchronous motor; resolver sensor; rotor position; speed extraction; vector control drive system; Artificial neural networks; Mathematical model; Rotors; Signal resolution; Stator windings; Torque; PMSM; R/D converter; Resolver; Vector control; artificial neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics (IICPE), 2010 India International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-1-4244-7883-5
Type :
conf
DOI :
10.1109/IICPE.2011.5728159
Filename :
5728159
Link To Document :
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