Title :
Stochastic and dynamic modeling of MEMS gyroscopes
Author_Institution :
Changchun Inst. of Opt., Fine Mech. & Phys., Changchun, China
Abstract :
The paper introduce two methods to identify the MEMS gyroscope, Allan variance method and AR(n) model. Both the method has broadly used in engineering. Through the two method, the statistical mathematical properties and dynamic system properties of MEMS gyroscope are proclaimed.
Keywords :
gyroscopes; microsensors; stochastic processes; AR(n) model; Allan variance method; MEMS gyroscopes; dynamic modeling; stochastic modeling; Analytical models; Data models; Gyroscopes; Mathematical model; Micromechanical devices; White noise; ARMA; Allan variance; Burg Algorithm; MEMS gyroscope;
Conference_Titel :
Mechatronics and Automation (ICMA), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-1275-2
DOI :
10.1109/ICMA.2012.6285749
