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飞行数据相容性检验在飞行试验数据分析中是很重要的。由于飞行试验测量数据中存在着各种过程噪声(如大气紊流)和测量噪声(如尺度因子偏差、常值系统偏差等),这些误差将会导致飞行数据各通道之间不相容。利用估计理论进行飞行状态估计,同时估计出未知的尺度因子,系统偏差,即进行飞行轨迹重构被认为是飞行数据相容性(一致性)检验的强有力的工具。本文利用推广卡尔曼滤波和信息平方根滤波及平滑进行高速飞机飞行数据的相容性检验,提出了飞机纵向运动和全面运动的新模型,通过仿真和实际计算得出满意的结果。
Flight data consistency testing is important in flight test data analysis. Due to various process noise (such as atmospheric turbulence) and measurement noise (such as scale factor deviation, constant system deviation, etc.) in the flight test measurement data, these errors will cause incompatibility among channels of flight data. Estimation of the flight state using the estimation theory, while estimating the unknown scale factor and system deviation, that is, flight trajectory reconstruction is considered as a powerful tool for flight data consistency (consistency) test. In this paper, we use the extended Kalman filter, the square root of information filtering and the smoothing test to verify the compatibility of high-speed aircraft flight data. A new model of longitudinal and full-scale aircraft movement is proposed. Satisfactory results are obtained through simulation and practical calculation.