The study of two FOG filter methods in improving the precision of servo control system

Author

Yan, Zhang ; Shu-Mei, Zhang ; Xin, Liu ; Lai-gang, Zhang

Author_Institution

Changchun Inst. of Opt., Fine Mech. & Phys., Chinese Acad. of Sci., Changchun, China

Volume

2

fYear

2010

fDate

20-22 Aug. 2010

Abstract

The precision of FOG has highly effect on the servo system´s final precision. In this paper, two filter methods has been researched in signal processing of FOG, smoothing filter method and Kalman filter based on ARMA model, in order to improve turn table servo control system´s performance. To validate the effects of these two methods, three experiments have been made, which are filter examinations, dynamic experiments and Static experiments. The experiments reveal that these two kinds of filter methods are useful to filter the unknown noises and very effective to improve the precision of servo control system.

Keywords

Kalman filters; autoregressive moving average processes; fibre optic gyroscopes; servomechanisms; signal processing; smoothing methods; ARMA model; FOG filter methods; Kalman filter; servo control system; signal processing; smoothing filter method; Analytical models; Presses; ARMA model; Kalman filter; servo control system; signal filter; smoothing filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on

Conference_Location

Chengdu

ISSN

2154-7491

Print_ISBN

978-1-4244-6539-2

Type

conf

DOI

10.1109/ICACTE.2010.5579316

Filename

5579316