基于信息融合技术的无人机风速测量方法  

UAV Wind Speed Measurement Method Based on Information Fusion Technology

作　　者：井立[1] 尹文强[1] 祁圣君[1] JING Li;YIN Wenqiang;QI Shengjun(Aircraft Flight Test Technology Institute,Xi'an 710089,China)

机构地区：[1]中国飞行试验研究院,陕西西安710089

出　　处：《飞机设计》2020年第5期71-75,共5页Aircraft Design

摘　　要：随着无人机技术的发展,无人机风速测量技术成为了无人机的一个重要应用领域。为了提高无人机风速测量的精度,文中将信息融合技术应用于无人机风速测量中,数据层分别通过平均法和改进的Kalman滤波对空速和航向角进行信息融合,以提高参数测量的精度,决策层通过加权平均法对速度矢量三角形法、空速归零法,以及航位推算法计算得到的结果进行融合,并通过实际飞行测量对文中方法进行验证。结果表明,基于信息融合技术的风速测量方法,可以与探测精度高的气球法相当,且探测区域广、探测成本低。With the development of the unmanned aerial vehicle(UAV) technology,UAV wind speed measurement technology has become an important application area if UAV.The information fusion technology was applied to measure wind speed in order to improve the accuracy.The average method and modified Kalman filtering were separately used to fuse the airspeed and course angle information to improve the precision of parameter measurement in data layer.Weighted average method was used to fuse the calculated results of velocity vector triangle method,airspeed zeroing method and navigation position calculation method in decision layer.The validity of the method is demonstrated by flight test.The result shows that the wind speed measurement method based on information fusion technology can be equivalent to the balloon method with high detection accuracy,and the detection area is wide and the detection cost is low.

关 键 词：无人机 风速测量 信息融合 

分 类 号：V217.3[航空宇航科学与技术—航空宇航推进理论与工程]