有控飞行器,特别是稳态控制状态下,姿态运动信息很小。利用遥测参数辨识气动参数,采用最大似然等统计方法估值,这些姿态信息很容易被噪声淹没。利用气动特性的先验知识和有约束最小二乘估值的方法,能够较好地进行气动参数辨识。该方法也可以用于飞行中在线辨识,及遥测数据质量不好或缺少气象测量数据的试后辨识,并且可以推广到非稳态控制的气动参数辨识。 Controlled aircraft, especially in the steady-state control state, the attitude movement information is small. The use of telemetry parameters to identify aerodynamic parameters, using maximum likelihood and other statistical methods of valuation, these attitude information is easily submerged by noise. Using the prior knowledge of aerodynamic characteristics and the method of constrained least squares estimation, aerodynamic parameters can be well identified. The method can also be used for on-line identification in flight, and post-trial identification of poor telemetry data or lack of meteorological data, and can be generalized to aerodynamic parameter identification of unsteady control.