基于卡尔曼滤波理论的甲板运动预估技术研究

航母在航行过程中，海浪运动将会导致舰体产生俯仰、横滚、偏航、上下起伏等运动，这将严重威胁舰载机的着舰安全。为了确保飞机在航母上成功降落，必须在着舰前使飞机运动轨迹与甲板运动同步，因此，本文研究了甲板运动预估技术，运用卡尔曼最优波波理论开发了甲板运动预估器，并提出首先对引入着舰导引系统的甲板运动信息进行预估，然后再进行超前补偿的策略。经仿真验证，甲板运动预估与补偿的结合，可以明显减小舰载机着舰误差，提高着舰精度。

Deck Motion Prediction Technique Based on Kalman Filtering Theory

Landing an aircraft on a carrier is a demanding task because the touchdown point is randomly moved due to the deck motion caused by the wave. To ensure the aircraft to land on the carrier successfully, the aircraft should precisely follow the motion of the deck in the last few seconds before landing. For this purpose, the deck motion prediction technique is discussed. The deck motion produced in the automatic carrier landing system is firstly predicted and then compensated. The deck motion predictor based on the Kalman filter theory is deve-loped. Simulational results show that the combination of deck motion prediction technique with deck motion compensation network can effectively reduce the terminal error and increase the landing precision.