一种新的迎角估计方法

针对迎角和侧滑角在大机动的条件下传感器不能准确测量的问题，提出了借助飞机的动力学模型，以惯导数据的姿态角及其角速率、加速度信息和大气数据的动压为量测值，利用扩展卡尔曼滤波的方法估计迎角和侧滑角，从而克服了对硬件的依赖性，实现了依靠算法代替传感器而获得飞行参数，但是该方法对系统数学模型即动力学模型的准确性有着较高的要求，通过仿真验证，该方法结构简单，易于工程实现，并且估计精度在0．4°以内，具有很好的实时性和鲁棒性。

New method of estimating angle-of-attack

Since the angle of attack(AOA) and the sideslip angle cannot be measured accurately when the aircraft is in maneuver,a method depending on aerodynamic model of the aircraft is introduced to estimate AOA and sideslip angle,in which an extended Kalman filtering is used with the measurements of Euler angles,body rates,acceleration information from INS and dynamic pressure from air data system.Therefore,the dependence on hardware is overcome,and the flight parameters are got by the algorithm instead of sensors.However,this method has a high dependence on the accuracy of aerodynamic model.Simulation results show that the method has good real-time capability and robustness,is easy to use in engineering application,and the estimating error is within 0.4°.