中文摘要：

从录音机(QAR ) 数据是的快存取的空气动力学的建模和参数评价分析高地天气的效果的一个重要技术方法在飞机的空气动力学的特征之上调节。它也是飞行事故分析的一个必要内容。相关技术在现在的论文被开发，包括为攻击和侧滑角度评价的角度的几何方法，与修改 Bryson-Frazier 联系的扩大 Kalman 过滤器更光滑( EKF-MBF )为空气动力学的系数鉴定的方法，光线的基础功能( RBF )为空气动力学的建模的神经网络方法，并且为稳定性/控制衍生物评价的三角洲方法。作为一个应用程序例子，接近一个高高度的机场的一架民用的飞机的 QAR 数据被处理，空气动力学的系数和衍生物估计被获得。评价结果是合理的，它证明发达技术是可行的。为空气动力学的衍生物估计的分发的原因被分析。因此，改进评价精确性的几项措施被提出。

英文摘要：

Aerodynamic modeling and parameter estimation from quick accesses recorder （QAR） data is an important technical way to analyze the effects of highland weather conditions upon aerodynamic characteristics of airplane. It is also an essential content of flight accident analysis. The related techniques are developed in the present paper, including the geometric method for angle of attack and sideslip angle estimation, the extended Kalman filter associated with modified Bryson-Frazier smoother （EKF-MBF） method for aerodynamic coefficient identification, the radial basis function （RBF） neural network method for aerodynamic mod- eling, and the Delta method for stability/control derivative estimation. As an application example, the QAR data of a civil air- plane approaching a high-altitude airport are processed and the aerodynamic coefficient and derivative estimates are obtained. The estimation results are reasonable, which shows that the developed techniques are feasible. The causes for the distribution of aerodynamic derivative estimates are analyzed. Accordingly, several measures to improve estimation accuracy are put forward.