| 微机电系统陀螺仪随机漂移误差建模与滤波研究 |
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| 引用本文： | 宋吉磊,吴训忠,郭铃.微机电系统陀螺仪随机漂移误差建模与滤波研究[J].导弹与航天运载技术,2012(4):35-38. |
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| 作者姓名： | 宋吉磊 吴训忠 郭铃 |
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| 作者单位： | 空军工程大学工程学院,西安,710038 |
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| 摘 要： | 随机漂移是微机电系统(MEMS)陀螺的主要误差,建立其数学模型并在输出中加以补偿是抑制该项误差、提高MEMS陀螺精度的有效方法。采用Allan方差对MEMS陀螺实测数据进行了分析,并采用时间序列分析法建立了随机漂移模型。根据建立的漂移模型,就如何利用Kalman滤波抑制随机漂移误差进行了分析和研究。
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| 关 键 词： | 微机电系统陀螺 随机漂移 Allan方差 时间序列分析 Kalman滤波 |
Research on Modeling and Filter of Micro Electro Mechanical System Gyroscope Random Drift |
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| Song Jilei
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Wu Xunzhong
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Guo Ling.Research on Modeling and Filter of Micro Electro Mechanical System Gyroscope Random Drift[J].Missiles and Space Vehicles,2012(4):35-38. |
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| Authors: | Song Jilei Wu Xunzhong Guo Ling |
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| Affiliation: | (Engineering College,Air Force Engineering University,Xi’an,710038) |
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| Abstract: | Random drift is the main error of Micro Electro Mechanical System(MEMS) gyroscope.It’s an efficient method to reduce the random drift and improve the accuracy by modeling and compensating in the output of MEMS gyroscope.Allan variance is used for analyzing the measured data of MEMS gyroscope,and its random drift is modeled by analytical method of time series.Based on the established model,it’s analyzed and researched how to reduce the random drift by Kalman filter. |
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| Keywords: | Micro Electro Mechanical System gyroscope Random drift Allan variance Time series analysis Kalman filter |
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