文章摘要
引用本文:曹阳,赖际舟,柳敏,叶素芬.某型机载惯性/卫星/大气多信息融合MEMS航姿系统的设计与实现[J].导航与控制,2018,(2):53-58 本文二维码信息
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某型机载惯性/卫星/大气多信息融合MEMS航姿系统的设计与实现
Design and Implementation of an Airborne Inertial/Satellite/Air Data Integrated MEMS AHRS
  
DOI:
中文关键词:  微机电系统  航姿系统  卫星导航系统  Kalman滤波
English Keywords:micro electro mechanical system (MEMS)  attitude heading reference system (AHRS)  satellite navigation system  Kalman filter
基金项目:六大人才高峰(编号:2015-XXRJ-005)
作者单位
曹阳 南京航空航天大学自动化学院南京 211106 
赖际舟 南京航空航天大学自动化学院南京 211106 
柳敏 南京航空航天大学自动化学院南京 211106 
叶素芬 南京航空航天大学自动化学院南京 211106 
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中文摘要:
      针对机载MEMS航姿系统中器件精度低且易受干扰导致其姿态性能降低的问题,提出了一种基于大气/卫星信息辅助的航姿系统融合方案。构建了多源传感信息辅助下的综合航姿系统方案,所设计系统具有多种工作运行模式,可根据传感器可用状态实现滤波器的无缝切换,建立了组合导航系统状态和量测模型,采用Kalman滤波方法实现多源信息的融合与估计,并开展了原理样机的跑车试验。试验结果表明,所设计的融合方案能有效保障航姿系统的可靠性与精度,具有较高的工程应用价值。
English Summary:
      Aiming at the problem of reduced attitude performance of airborne MEMS AHRS which is caused by the low device accuracy and its susceptible to interference, a fusion scheme based on air data/satellite information is proposed in the paper. Integrated posture system aided by multi-source sensor information is established. The designed system has a variety of operation mode, which can achieve a seamless filter switch according to the available states of sensors. The state and measurement model of the integrated navigation system are built. The fusion and estimation of multi-source information is realized by Kalman filter method, and the proposed scheme is verified through practical tests. Test results show that the proposed fusion scheme can effectively guarantee the reliability and precision of AHRS, which has good engineering application value.
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