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