| 无人机爬升转弯航迹预测 |
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| 引用本文： | 王坤,王莉莉.无人机爬升转弯航迹预测[J].航空计算技术,2014(1):83-85,89. |
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| 作者姓名： | 王坤 王莉莉 |
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| 作者单位： | 中国民航大学天津市空管运行规划与安全技术重点实验室,天津300300 |
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| 基金项目： | 国家自然科学基金与中国民用航空联合项目资助（61179~2）;中央高校基本科研业务费项目资助（ZXH2012L005）;中国民航大学科研基金项目资助（06kym06） |
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| 摘 要： | 信息获取、自动精确打击等使得无人机已成为不可缺少的武器。快速精确的航迹预测可以提高作战效率,提供及时、最优的冲突解决方案。针对无人机的优良特性,首先优化无人机的航迹模型,并对其可行性进行理论推导,重点研究了以最大功率爬升转弯过程,验证了优化后的过程优于普通爬升转弯模型。此航迹预测方法可以快速得出航迹特征点以及到达航迹特征点的时间。
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| 关 键 词： | 无人机 航迹预测 最大功率爬升 航迹特征点 预测时间 |
Prediction of UAV Climbing and Turning Track |
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| Institution: | WANG Kun, WANG Li- li ( Tianjin Key Lab of Operation Programming and Safety Technology of Air Trajfic Management,CAUC,TianJin 300300,China) |
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| Abstract: | Nowadays, the access to information or automatic precision strike makes UAV become an indis- pensable weapon. Fast and accurate trajectory prediction can improve operational efficiency, providing timely and optimal conflict resolution. Firstly, the article optimize UAV flight path model, and make sure its feasibility in theory. Based on excellent characteristics for UAV, the test focuses on the process of climbing and turning at maximum power, verifing the process after optimization model is superior to ordi- nary process. This track prediction method can plane arrives at track feature points. quickly calculate track feature points and the time when a |
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| Keywords: | UAV track prediction maximum power climb track feature points prediction time plane arrives at track feature points |
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