| 基于多分辨率分析的硅微陀螺随机漂移时间序列建模 |
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| 引用本文： | 满海鸥,龙书林,肖定邦,吴学忠,王浩旭.基于多分辨率分析的硅微陀螺随机漂移时间序列建模[J].传感技术学报,2012,25(8):1107-1111. |
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| 作者姓名： | 满海鸥 龙书林 肖定邦 吴学忠 王浩旭 |
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| 作者单位： | 总装驻常德地区军代室;国防科技大学机电工程与自动化学院 |
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| 摘 要： | 针对硅微陀螺的随机漂移误差,根据多尺度分析理论,提出了随机漂移趋势项提取算法,并应用于时间序列分析,采用波克斯-詹金斯法建立了ARMA模型。进一步采用长自回归-白噪化建模方法对模型进行了辨识和适用性检验。最后,构造Kalman滤波器对ARMA模型进行了滤波,滤波后方差减小了一个数量级,硅微陀螺原始漂移的零偏稳定性为34.428°/h,Kalman滤波后零偏稳定性为2.34°/h,有效地提高了陀螺的使用精度。
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| 关 键 词： | 多分辨率分析 时间序列 ARMA模型 Kalman滤波 |
Time-Series Model of Silicon Micro-gyroscope Random Drift based on Multi-Resolution Analysis |
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| MAN Haiou,LONG Shulin,XIAO Dingbang,WU Xuezhong,WANG Haoxu.Time-Series Model of Silicon Micro-gyroscope Random Drift based on Multi-Resolution Analysis[J].Journal of Transduction Technology,2012,25(8):1107-1111. |
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| Authors: | MAN Haiou LONG Shulin XIAO Dingbang WU Xuezhong WANG Haoxu |
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| Affiliation: | 1.Military Representative Office,General Armament Department,Changde Hunan 415007,China; 2.College of Mechatronics Engineering and Automation,National University of Defense Technology,Changsha 410073,China) |
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| Abstract: | According to multi-resolution analysis theory, the arithmetic of gyroscope random drift trend is put forward which is applied to time-series analysis objected to the random drift error. Then, set up the Autoregressive Moving-Average model by Box-Jenkins method. Further more, model identification and the validity test is taken by long autoregressive-white noise modeling method. Lastly, construct the kalman filter to filtrate the ARMA model. The variance reduce one quantity order and the gyroscope bias offset stability improved from34.428o/h to 2.34o/h after kalman filter ,so its application precision in practical system can be further improved |
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| Keywords: | Multi-Resolution Analysis Time-Series ARMA Model Kalman Filter |
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