Attitude motion information of controlled flight vehicle is very limited especially under stable control. This attitude information is easy to be submerged in noise when using statistical estimation such as Maximum Likelihood Method based on utilizing telemetry data to identify aerodynamic parameters. This paper presents an effective aerodynamic parameters identification method based on constrained least squares estimation and a priori knowledge of aerodynamic characteristics. This method can also be used for flight on-line identification and after mission identification in case of lacking meteorological data or without high quality telemetry data. It can also be extended to aerodynamic parameters identification for unstable control.%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。
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