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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。
Aiming at the problem that the UAV is susceptible to the wind field when flying at high altitude and low speed and the telemetry data is not perfect in the data analysis, the aerodynamic parameter identification method is studied and the wind field estimation method based on the plane vector triangle of the TP is proposed. Aeroeconomic Estimation Method for Correcting Wind Farm Information. Taking a certain type of UAV as an example, the telemetry data is fully analyzed and synthesized, and the longitudinal aerodynamic parameters are identified by stepwise regression and verified by experiments. The results show that the calculated results agree well with the measured data, which shows that the proposed method is effective. Taking into account the mathematical nature of the identification model, this method is equally applicable to other fixed wing UAVs.