基于粒子滤波算法的载机着舰甲板运动预测

Deck Motion Prediction for Carrier Aircraft’s Landing Based on Particle Filtering

舰载机在着舰过程中对甲板运动的跟踪存在相位差，需要采用预报技术将甲板的运动信息提前加入到舰载机自动着舰控制系统中：文章利用粒子滤波算法，提出了载舰甲板运动的在线预估方法，及时准确地反映出各种甲板运动形式的实质。对典型海况下甲板的俯仰运动、垂直起伏运动和偏航运动进行预报仿真，仿真结果对比表明基于粒子滤波算法得到的预估结果精度更高。

There exists the phase error in carrier aircraft＇s tracking to the deck motion during its landing, thus motion prediction is required to integrate the deck motion signals into automatic carrier landing system in advance. An on-line prediction method for the deck motion was proposed. The method could exactly predict the forms of deck motion in real-time. The pitching, the yawing and the vertical motion of ships under the common marine condition were simulated, which shows that the proposed prediction method was more effective. The simulation result conformed that the method based on particle filtering could reduce the tracking error to an acceptable level