| 弹体姿态估计数据融合算法研究 |
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| 引用本文： | 王勇,陈家斌,刘志德,宋春雷. 弹体姿态估计数据融合算法研究[J]. 北京理工大学学报, 2011, 31(5): 533-536 |
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| 作者姓名： | 王勇 陈家斌 刘志德 宋春雷 |
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| 作者单位： | 北京理工大学,自动化学院,北京,100081 |
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| 摘 要： | 为了测量剧烈变化的弹体滚转角姿态,设计了高、低量程配置的传感器测量方案,利用UKF滤波器,对弹体滚转姿态进行估计.为了提高弹体飞行中间段的滚转姿态测量精度,进一步设计了状态融合和量测融合两种数据融合算法.仿真研究表明,量测融合算法精度高、实时性强.
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| 关 键 词： | 非线性滤波 数据融合 无迹卡尔曼滤波器 弹体 姿态 |
| 收稿时间： | 2009-11-12 |
Study of Data Fusion Algorithms for Estimating Projectile's Attitude |
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| WANG Yong,CHEN Jia-bin,LIU Zhi-de and SONG Chun-lei. Study of Data Fusion Algorithms for Estimating Projectile's Attitude[J]. Journal of Beijing Institute of Technology(Natural Science Edition), 2011, 31(5): 533-536 |
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| Authors: | WANG Yong CHEN Jia-bin LIU Zhi-de SONG Chun-lei |
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| Affiliation: | WANG Yong,CHEN Jia-bin,LIU Zhi-de,SONG Chun-lei(School of Automation,Beijing Institute of Technology,Beijing 100081,China) |
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| Abstract: | To determine the attitude of roll angle of projectile in acute changing situation,a sensor measurement scheme was designed,which includes high and low range configuration.Unscented Kalman filter was applied to estimate the attitude of roll angle of projectile.Furthermore,two sorts of data fusion algorithms,state fusion and measurement fusion algorithm,were designed to improve the measurement precision of roll angle in mid stage flight.Simulation study shows that the measurement data fusion algorithm has hig... |
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| Keywords: | nonlinear filtering data fusion unscented Kalman filter(UKF) projectile attitude |
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