航空学报 > 2007, Vol. 28 Issue (6): 1395-1400

大失准角下MIMU空中快速对准技术

曹娟娟,房建成,盛蔚   

  1. 北京航空航天大学 仪器科学与光电工程学院
  • 收稿日期:2006-11-10 修回日期:2007-03-27 出版日期:2007-12-15 发布日期:2007-12-15
  • 通讯作者: 曹娟娟

A Fast Inflight Alignment Method for MIMU Under Large Attitude Errors

Cao Juanjuan,Fang Jiancheng,Sheng Wei   

  1. School of Instrumentation Science and Opto-electronics Engineering, Beijing University ofAeronautics and Astronautics
  • Received:2006-11-10 Revised:2007-03-27 Online:2007-12-15 Published:2007-12-15
  • Contact: Cao Juanjuan

摘要:

为了提高微小型无人机空中的反应速度和作业精度,提出将基于模型误差预测的扩展卡尔曼滤波(MEP-EKF)方法应用在大失准角下微惯性测量单元(MIMU)的空中对准中,通过不同机动飞行策略的仿真结果,证实MEP-EKF算法不仅能够实时估计出系统的模型误差,而且将其与扩展卡尔曼滤波(EKF)和Unscented卡尔曼滤波(UKF)方法进行了仿真比较,结果表明MEP-EKF算法在方位误差角的估计上,取得了比EKF和UKF精度高的仿真结果,使得方位失准角由30°快速下降到1°左右,而且MEP-EKF所需时间仅是UKF的17%。

关键词: 捷联惯性导航系统, 空中对准, 预测滤波, EKF, UKF, MIMU, GPS

Abstract:

Aimed at the requirement of high estimation precision and real time in the real in-flight alignment application,a method of extended Kalman filter base on model error predictive(MEP-EKF) is used for micro inertial measurement unit (MIMU) in-flight alignment. The simulation results show that this method has better precision of the-azimuth-than those of extended Kalman filter(EKF) and unscented Kalman filter(UKF) during the different maneuvers, and the heading error decreases very quickly from large value 30° to around 1°.

Key words: strapdown , inertial , navigation , system,  , in flight , alignment,  , predictive , filter,  , EKF,  , UKF,  , MIMU,  , GPS

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