自由飞行下基于Kalman滤波理论的最小安全间距研究  

Research on Minimum Safe Distance in Free Flight Based on Kalman Filtering Theory

作　　者：赵鑫[1] 吕宗平[1] 张兆宁[1] 

机构地区：[1]中国民航大学空中交通管理学院,天津300300

出　　处：《航空计算技术》2015年第4期38-41,共4页Aeronautical Computing Technique

基　　金：国家自然科学基金项目资助(71171190)

摘　　要：在CNS飞行环境下,考虑了速度分布对自由飞行下航空器的运动过程的影响。将飞机在空中的运动分解为水平投影面和垂直投影面的运动,在水平投影面,利用卡尔曼滤波理论,减小飞机定位误差,估计飞机对间的相对距离;在垂直投影面内,建立航空器运动的随机运动学模型。由水平投影面和垂直投影面的相对距离,可以得到航空器在空间中的相对距离,据此建立飞行碰撞风险模型。根据给定的安全目标水平,对模型进行求解可以得到相应的最小安全间距。In the CNS environment, considering the effect of the velocity distribution in the motion process of free flight of aircraft. The plane in the air movement decomposed to the horizontal and vertical planes of movement,in the horizontal plane of projection, using Kalman filtering theory, reduce the positioning er- rors of aircraft, estimate the relative distance between the planes; in the vertical plane, flight, a random kinematics model was built based on the movement of plane. By the relative distance of horizontal and vertical plane ,can get aircraft relative distance in space ,when the relative distance is less than the given minimum safe distance, he collision happens. So a flight collision risk model was built. Then according to a given target level of safety,to solve the model can get the corresponding minimum safety distance. Re- suits of the examples show the feasibility of the model.

关 键 词：最小安全间距 卡尔曼滤波理论 定位误差 速度分布 

分 类 号：V328[航空宇航科学与技术—人机与环境工程]