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ESTIMATION OF PARAMETERS WITH PARTITIONED DATA FROM LARGE AMPLITUDE MANEUVERS OF AN AIRCRAFT

机译:从飞机的大幅度机动中获取带有分区数据的参数估计

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In this paper data partitioning method is applied to concatenated large amplitude manoeuvres (LAM) of a fighter aircraft to estimate its stability and control derivatives. Stepwise multiple linear regression (SMLR) is utilized to determine the model structure within each partitioned data set. It is shown that the procedure with data generated from a research simulator, yields a useful method for estimating the pitch up tendency exhibited by the aircraft during certain angle of attack (AOA) range. The SMLR is also applied to estimate non-linear aerodynamic derivatives of the aircraft from LAM data. The method is applied to real LAM data of the aircraft and gives reasonably consistent estimates of the aerodynamic derivatives. Results using model error method for the longitudinal derivatives from LAMs are also presented.
机译:本文将数据分割方法应用于一架战斗机的级联大幅度机动(LAM),以估计其稳定性并控制其导数。利用逐步多元线性回归(SMLR)确定每个分区数据集中的模型结构。结果表明,利用研究模拟器生成的数据进行的程序产生了一种有用的方法,用于估计飞机在特定迎角(AOA)范围内表现出的俯仰趋势。 SMLR还用于根据LAM数据估算飞机的非线性空气动力学导数。该方法应用于飞机的实际LAM数据,并给出了合理的空气动力学导数估计。还提出了使用模型误差方法对LAM的纵向导数进行分析的结果。

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