Title :
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
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;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5579316
