Artificial Neural Network based Controller and Speed Estimation of Permanent Magnet Synchronous Motor

Author

Gaur, Prerna ; Singh, Bhim ; Mittal, A.P.

Author_Institution

Instrum. & Control Eng. Div., IEEE, Dwarka

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

1

Lastpage

6

Abstract

In the present work an artificial neural network (ANN) based speed controller and speed estimator of PMSM (permanent magnet synchronous motor) drive is designed and simulated using SIMULINK under MATLAB and results are compared with conventional PI controller and observer based drive of PMSM. The performance of ANN based system is evaluated for various disturbances to substantiate the proposed control and estimation of the speed.

Keywords

angular velocity control; fault diagnosis; machine control; neurocontrollers; observers; permanent magnet motors; synchronous motor drives; ANN based system; PI controller; PMSM drive; artificial neural network; permanent magnet synchronous motor; speed estimation; Artificial neural networks; Control systems; DC motors; Machine vector control; Mathematical model; Neural networks; Permanent magnet motors; Pi control; Proportional control; Torque; Artificial Intelligence; Artificial Neural Network; Model referencing adaptive system (MRAS); Permanent Magnet Synchronous Motor (PMSM);

fLanguage

English

Publisher

ieee

Conference_Titel

Power System Technology and IEEE Power India Conference, 2008. POWERCON 2008. Joint International Conference on

Conference_Location

New Delhi

Print_ISBN

978-1-4244-1763-6

Electronic_ISBN

978-1-4244-1762-9

Type

conf

DOI

10.1109/ICPST.2008.4745351

Filename

4745351