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A hybrid frequency-time domain technique for ground effect identification

机译:一种混合频域时域识别技术

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摘要

The estimation from flight data of aerodynamic parameters for vehicle in steady-state conditions, perturbed by an identification manoeuvre, is a well-established technology, whereas system identification from dynamic flight data is a subject of continuous interest. This paper presents a hybrid frequency and time domain technique for identification of vehicle longitudinal aerodynamic model, including the ground effect. Identification is performed in the framework of a multi-step approach, in which, first aerodynamic coefficients are estimated in the frequency domain, using an equation error method; then time domain techniques are applied to identify out of ground effect aerodynamic derivatives and ground effect model parameters. The technique was successfully applied to flight data of an experimental ultra light aircraft. Identification results showed that the proposed method works properly also in the dynamic phases of the flight or when no dedicated identification manoeuvres are executed. Moreover, the identified longitudinal aerodynamic model was used to design the flight control system that successfully performed many autonomous landings.
机译:在稳定状态下,由飞行数据对车辆的空气动力学参数进行估计,并受到识别动作的干扰,这是一项行之有效的技术,而从动态飞行数据中进行系统识别却一直是人们关注的话题。本文提出了一种混合时频域技术,用于识别车辆纵向空气动力学模型,包括地面效应。识别是在多步骤方法的框架内进行的,在该方法中,首先使用等式误差法在频域中估算空气动力学系数;然后,通过方程式误差法估算空气动力学系数。然后应用时域技术来识别地面效应空气动力学导数和地面效应模型参数。该技术已成功应用于实验性超轻型飞机的飞行数据。识别结果表明,该方法在飞行的动态阶段或未执行专门的识别动作时也能正常工作。此外,使用确定的纵向空气动力学模型来设计成功执行许多自主着陆的飞行控制系统。

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