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RealSysId: A software tool for real-time aircraft model structure selection and parameter estimation

机译:RealSysId:用于实时飞机模型结构选择和参数估计的软件工具

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This work presents a new computational tool developed for online selection, identification and validation of the aerodynamic model structure of a fixed-wing aircraft. This tool, named RealSysId, brings the possibility to choose and compute, during real-time of the experimental test flight, the most relevant aerodynamic stability and control derivatives, also giving visual and analytical indications about the quality of the excitation maneuver. The selection of the coefficients is performed through a graphical interface prior to the execution of the maneuver. During the execution, the identification is done using a time-based technique known as Recursive Orthogonal Least Squares method, requiring negligible computational effort. In a third step, the validation occurs using a separate maneuver, where the computed aerodynamic global coefficients are compared with the prediction interval of the recent identified model. The usage of the interval of prediction defined on a certain level of confidence, instead the predicted model, offers a realistic assessment of the computed model. The entire process comprised by the functionalities of the RealSysId tool, which gives immediate result, improves significantly the decision making and updating of the flight test maneuvers, increasing the efficiency of the flight test campaign. The benefits and applicability of this tool, including the possibility to identify variations in the aerodynamic coefficients caused by configuration changes, are demonstrated with two real flight test cases. (C) 2016 Elsevier Masson SAS. All rights reserved.
机译:这项工作提出了一种新的计算工具,用于在线选择,识别和验证固定翼飞机的空气动力学模型结构。这个名为RealSysId的工具使您可以在试验飞行的实时过程中选择和计算最相关的空气动力学稳定性和控制派生参数,还可以通过视觉和分析的方式了解激励操作的质量。在执行操纵之前,通过图形界面执行系数的选择。在执行期间,使用称为递归正交最小二乘法的基于时间的技术完成识别,所需的计算工作量可忽略不计。在第三步中,使用单独的操作进行验证,将计算出的空气动力学全局系数与最近识别的模型的预测间隔进行比较。在一定的置信度上定义的预测间隔的使用,而不是预测模型,可以对计算模型进行实际评估。 RealSysId工具的功能组成的整个过程可立即产生结果,可显着改善飞行测试操作的决策和更新,从而提高飞行测试活动的效率。通过两个真实的飞行测试案例,证明了该工具的优点和适用性,包括识别由构型变化引起的空气动力系数变化的可能性。 (C)2016 Elsevier Masson SAS。版权所有。

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