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On Automatic Landing System for carrier plane based on integration of INS, GPS and vision

机译:基于INS,GPS和视觉集成的舰载机自动着陆系统研究

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How to land safely on an aircraft carrier is an important problem for carrier plane. This paper proposes that the relative navigation information of GPS and vision based navigation are integrated with airborne INS and shipboard INS to get accuracy plane-ship relative position which will be used to guide carrier plane to land. CDGPS is used to calculate the plane-ship relative position. Acceleration and velocity of ship are transferred to carrier plane by data link. The plane-ship relative position and relative velocity are included in the state vector. The relative position information of GPS and vision based navigation, and the difference of airborne INS velocity and velocity of shipboard INS are used to construct the measurement vector of a Kalman filter. And then, accurately relative position information, whose period is as same as that of INS, is calculated by the Kalman filter. Simulation results demonstrate that the performance of the integrated algorithm, presented by this paper, meet the accuracy requirements for automatic carrier landing.
机译:如何安全降落在航空母舰上是航空母舰的重要问题。本文提出将GPS的相对导航信息和基于视觉的导航与机载惯性导航系统和舰载惯性导航系统集成在一起,以获得精确的飞机与舰船的相对位置,将其用于指导载机降落。 CDGPS用于计算飞机相对位置。船舶的加速度和速度通过数据链接传输到承运人平面。平面船的相对位置和相对速度包括在状态向量中。 GPS的相对位置信息和基于视觉的导航,以及机载INS速度和舰载INS速度的差值用于构造Kalman滤波器的测量向量。然后,通过卡尔曼滤波器准确地计算出周期与INS相同的相对位置信息。仿真结果表明,本文提出的集成算法的性能满足航母自动着陆的精度要求。

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