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In-Flight Self-Alignment Method Aided by Geomagnetism for Moving Basement of Guided Munitions

机译:地磁辅助飞行制导弹药飞行中自对准方法

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摘要

Due to power-after-launch mode of guided munitions of high rolling speed, initial attitude of munitions cannot be determined accurately, and this makes it difficult for navigation and control system to work effectively and validly. An in-flight self-alignment method aided by geomagnetism that includes a fast in-flight coarse alignment method and an in-flight alignment model based on Kalman theory is proposed in this paper. Firstly a fast in-flight coarse alignment method is developed by using gyros, magnetic sensors, and trajectory angles. Then, an in-flight alignment model is derived by investigation of the measurement errors and attitude errors, which regards attitude errors as state variables and geomagnetic components in navigation frame as observed variables. Finally, fight data of a spinning projectile is used to verify the performance of the in-flight self-alignment method. The satisfying results show that (1) the precision of coarse alignment can attain below 5°; (2) the attitude errors by in-flight alignment model converge to 24' at early of the latter half of the flight; (3) the in-flight alignment model based on Kalman theory has better adaptability, and show satisfying performance.
机译:由于制导速度快的弹药的先发后发模式,无法精确确定弹药的初始姿态,这使导航和控制系统难以有效地工作。提出了一种基于地磁的飞行自对准方法,包括快速飞行中粗对准方法和基于卡尔曼理论的飞行中对准模型。首先,利用陀螺仪,磁传感器和轨迹角开发了一种快速的飞行中粗对准方法。然后,通过研究测量误差和姿态误差,得出飞行中对准模型,该模型将姿态误差作为状态变量,并将导航框中的地磁分量视为观测变量。最后,使用旋转的弹丸的战斗数据来验证飞行中自对准方法的性能。令人满意的结果表明:(1)粗调准精度可以达到5°以下; (2)飞行中对准模型的姿态误差在飞行后半段的早期收敛到24'; (3)基于卡尔曼理论的机载对准模型具有较好的适应性,并表现出令人满意的性能。

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  • 来源
    《Journal of control science and engineering》 |2015年第2015期|425698.1-425698.8|共8页
  • 作者单位

    Beijing Institute of Technology, Beijing 100081, China,Key Laboratory of Dynamics and Control of Flight Vehicle, Ministry of Education, Beijing 100081, China;

    Beijing Institute of Technology, Beijing 100081, China,Key Laboratory of Dynamics and Control of Flight Vehicle, Ministry of Education, Beijing 100081, China;

    Beijing Key Laboratory of High Dynamic Navigation Technology, University of Beijing Information Science & Technology, Beijing 100101, China;

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