| 基于神经网络的轨道武器再入制导研究 |
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| 引用本文： | 杨兴宝,毕开波.基于神经网络的轨道武器再入制导研究[J].战术导弹技术,2009(2):45-49. |
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| 作者姓名： | 杨兴宝 毕开波 |
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| 作者单位： | 大连舰艇学院,大连116018 |
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| 摘 要： | 将神经网络应用于轨道武器的弹道式再入制导中，实时得到所需航迹角，以此形成制导信号．对于具有较大再入初始误差及再入过程干扰、机动能力又不大的弹道式再入飞行器，可以给出满意的制导效果，而并不增加制导系统的复杂性．
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| 关 键 词： | 神经网络 弹道式再入 再入制导 |
Study of Reentry Guidance of Maneuverable Weapon Based on Neural Network |
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| Yang Xingbao,Bi Kaibo.Study of Reentry Guidance of Maneuverable Weapon Based on Neural Network[J].Tactical Missile Technology,2009(2):45-49. |
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| Authors: | Yang Xingbao Bi Kaibo |
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| Affiliation: | (Dalian Naval Academy, Dalian 116018, China) |
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| Abstract: | Neural network is used in the ballistic reentry guidance of orbit weapon to get flight-path angle in real time. Numerical simulation result sustains the better effectiveness of the guidance law of a ballistic reentry vehicle with little maneuverability and bigger initial error and reentry disturb. And it doesn＇ t add system＇ s complexity. |
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| Keywords: | neural network ballistic reentry reentry guidance |
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