基于遥测数据的无人机气动参数辨识方法研究

针对无人机在高空低速飞行时易受风场影响及在数据分析时遥测数据不完备的问题,进行了气动参数辨识方法研究,提出了基于空速管平面矢量三角形的风场估计方法及基于风场信息修正的气动角估计方法。以某型无人机为例,对遥测数据进行了充分分析与信息综合,运用逐步回归方法进行了纵向气动参数辨识,并进行了实验验证。结果表明,模型计算结果与实测数据吻合较好,说明所提方法有效。考虑到辨识模型的数学本质,该方法对其他固定翼无人机同样适用。

Study on UAV's aerodynamic parameter identification method based on telemetry data

Unmanned aerial vehicle(UAV) in low-speed flight will be affected by wind field at mid-high altitude and complete flight data is difficult to achieve because of the insufficiency of flight test condition.In order to solve these problems, an approach for the method of aerodynamic parameter identification is given.This paper presents a wind field estimation method based on vector triangle plane pitot tube and a pneumatic angle estimation method based on modified wind field information.Taking a fixed wing UAV as an example, telemetry data is fully analyzed and integrated, and longitudinal aerodynamic parameters is identified using stepwise regression method.Finally, the validity of the method is demonstrated by comparing the telemetry data with identification results by experimental verification.Taking into account the mathematical nature of the identification model, this method is also applicable to other fixed-wing UAVs.