A study of SMO buffeting elimination in sensorless control of PMSM

Author

Jun, Liu ; Gang, Wang ; JinShou, Yu

Author_Institution

Sch. of Electr. Eng., Shanghai DianJi Univ., Shanghai, China

fYear

2010

Firstpage

4948

Lastpage

4952

Abstract

A sensorless vector control system of Permanent Magnet Synchronous Motor (PMSM) is designed based on Sliding Mode Observer (SMO) by analyzing the model of PMSM in this paper. Using Kalman Filter in the output of Back Electromotive Force (back EMF), makes the waveform smoothly and accurately. It also makes the model more suitable for high-performance application. Some continuous functions like sat(s), continue(s), integral(s), exp(s) are introduced to replace the sign function sign(s). To show the correctness and availability of the proposed control scheme, simulations are carried out and the results are analyzed at last.

Keywords

Kalman filters; electric potential; machine vector control; observers; permanent magnet motors; sensorless machine control; synchronous motors; variable structure systems; Kalman filter; PMSM; SMO; back electromotive force; buffeting elimination; continuous function; permanent magnet synchronous motor; sensorless vector control system; sign function; sliding mode observer; Kalman filters; Mathematical model; Observers; Permanent magnet motors; Rotors; Switches; Buffeting elimination; Kalman filter; PMSM; SMO;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2010 8th World Congress on

Conference_Location

Jinan

Print_ISBN

978-1-4244-6712-9

Type

conf

DOI

10.1109/WCICA.2010.5554808

Filename

5554808