MEMS Gyro Random Error On-line Modeling Based on Recursive Least-Squares Method of System Identification

DOI

10.2991/wartia-16.2016.321How to use a DOI?

Keywords

Gyro Random Error, On-line Modeling, System Identification, Recursive Least-Squares Method

Abstract

To develop the guided projectile with higher hit precision, promotes gyro’s performance has immensely affection on trajectory measurement. According to the difficulty in method of MEMS angular rate gyro random error on-line modeling, this paper proposes a new algorithm of recursive least-squares method that used in the system identification processing. With this recursive least-squares method, a few known gyro output data are used to roughly estimate system parameters, then newly obtained data are added to the measurement formula using the recursive algorithm in order to make estimated parameters approach to its truth-value. This study indicates that the residual error between outputs of gyro random error model and outputs of real gyro highly approximates white noise, which means the error model accurately describes statistical features of gyro random error and the recursive algorithm realizes on-line modeling.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jiawei Wang
AU  - Keyu Qi
AU  - Kai Shi
AU  - Ke Liang
AU  - Jie Yan
PY  - 2016/05
DA  - 2016/05
TI  - MEMS Gyro Random Error On-line Modeling Based on Recursive Least-Squares Method of System Identification
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1597
EP  - 1602
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.321
DO  - 10.2991/wartia-16.2016.321
ID  - Wang2016/05
ER  -