QIAN Hua-ming1, XIA Quan-xi1, AN Di1, et al. Application of heuristic drift reduction algorithm in data processing for MEMS gyroscope[J]. 2010, 29(3): 109-111+114.
QIAN Hua-ming1, XIA Quan-xi1, AN Di1, et al. Application of heuristic drift reduction algorithm in data processing for MEMS gyroscope[J]. 2010, 29(3): 109-111+114. DOI: 10.13873/j.1000-97872010.03.009.
启发式算法在MEMS陀螺仪数据处理中的应用
摘要
随机漂移是影响微机电系统(MEMS)陀螺仪精度的主要因素。为了实时估计并补偿随机漂移
对启发式漂移消减算法(HDR)进行改进
提出自适应漂移消减算法。利用Allan方差分析方法确定陀螺仪的零偏稳定时间
通过检测陀螺仪数据的平稳性来区分随机漂移和真实角速率。以Pioneer3—AT机器人为平台进行试验
与基本HDR算法相比
新算法可以弥补载体有恒定角速率时基本HDR算法不可用的缺点
与普通算法相比
新算法可以提高航向精度2倍以上。
Abstract
Random drift is the main factor that influences the precision of micro-electro-mechanical system(MEMS)gyroscope.In order to real-time estimate and compensate random drift and improve on heuristic drift reduction algorithm self-adaptive drift reduction algorithm was proposed.Allan-variance analysis method was adopted to determine the null bias stability time of gyro.Random drift and true angular rate were distinguished by checking the stationary character of gyro.Test had been done with the platform of gyro-equipped indoor mobile robot Pioneer3-AT.When the body has a constant true angular rate
the new algorithm is still useful while the basic heuristic drift reduction algorithm is not use.To compare with common algorithm
the new method can increase the precision by 2 times.
关键词
Keywords
references
MEMS陀螺仪随机漂移误差研究 [J]. 吉训生,王寿荣. 宇航学报 . 2006(04)
捷联惯性导航技术[M]. 国防工业出版社 , 张天光等, 2007
时间序列分析的工程应用[M]. 华中理工大学出版社 , 杨叔子等著, 1991
Heuristic Reduction of Gyro Drift for Personnel Tracking Systems [J] . Borenstein, Johann,Ojeda, Lauro,Kwanmuang, Surat. The Journal of Navigation . 2009 (1)