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Identification of Thrust, Lift, and Drag for Deep-stall Flight Data of a Fixed-wing Unmanned Aircraft

机译:固定翼无人机深度失速飞行数据的推力,升力和阻力识别

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In this paper, we consider a small unmanned aircraft and data collected during regular and deep-stall flight. We present an identification method for the thrust force generated by the propulsion system based on the in-flight measurements where we make use of the well-known linear and quadratic approximations of the lift and drag coefficients, respectively, for low angles of attack. This overcomes the lack of propeller thrust measurements and the obtained models are successfully evaluated against CFD simulation. The identified thrust model proves applicable beyond low angles of attack, thus enabling force estimation in the full flight envelope.
机译:在本文中,我们考虑了小型无人飞机以及在常规和深度失速飞行期间收集的数据。我们提出了一种基于飞行中测量值的,由推进系统产生的推力的识别方法,其中我们分别针对低攻角利用举升系数和阻力系数的线性和二次近似值。这克服了螺旋桨推力测量的不足,并且成功地针对CFD仿真评估了获得的模型。所确定的推力模型证明适用于低攻角,因此可以估算整个飞行包线中的力。

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