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Modified attitude factor graph fusion method for unmanned helicopter under atmospheric disturbance 被引量:2
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作者 Kecheng SUN Qinghua ZENG +2 位作者 Jianye LIU Wenqi QIU Jinhen SHI 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2022年第6期285-297,共13页
The Unmanned Aerial Helicopter(UAH)has attracted increasing attention in the military and civil areas with the unique flight performance.The significant impact on the attitude measurement performance of UAHs by the st... The Unmanned Aerial Helicopter(UAH)has attracted increasing attention in the military and civil areas with the unique flight performance.The significant impact on the attitude measurement performance of UAHs by the strong airflow disturbance is an essential factor threatening flight safety.To improve the attitude measurement performance of UAHs under atmospheric disturbance,an attitude fusion method over the factor graph is applied and provides the plug-and-play capability.Based on the relationship between position,velocity and attitude,a new attitude correction algorithm for the Modified Attitude Factor Graph Fusion(MAFGF)navigation method is designed and constructed through the fused position and velocity information.Finally,results of simulation and experiment are given to show the effectiveness of the proposed method. 展开更多
关键词 attitude correction Factor graph Integrated navigation Strong airflow environment Unmanned aerial helicopter
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