| 大攻角飞行时机翼摇摆问题的神经网络控制方案 |
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| 引用本文： | 王松,崔平远,张池平,杨涤.大攻角飞行时机翼摇摆问题的神经网络控制方案[J].航空学报,1998,19(3):315-317. |
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| 作者姓名： | 王松 崔平远 张池平 杨涤 |
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| 作者单位： | 哈尔滨工业大学137 信箱, 哈尔滨, 150001 |
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| 基金项目： | 国家自然科学基金,黑龙江省杰出青年基金,哈工大青年科学基金 |
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| 摘 要： | 提出了一种基于神经网络的自适应控制方案，这种方案能够在对被控对象几乎没有先验知识的情况下对其实施有效的控制，对一个具有不稳定机翼摇摆问题的薄三角翼飞机模型的仿真证实了本方法的有效性。
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| 关 键 词： | 大攻角飞行 机翼摇摆 非线性控制 神经网络 自适应控制 |
| 收稿时间： | 1997-07-07 |
| 修稿时间： | 1997-11-28 |
NEURAL NETWORKS APPROACH FOR WING ROCK PROBLE AT HIGH ANGLES OF ATTACK |
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| Wang Song,Cui Pingyuan,Zhang Chiping,Yang Di.NEURAL NETWORKS APPROACH FOR WING ROCK PROBLE AT HIGH ANGLES OF ATTACK[J].Acta Aeronautica et Astronautica Sinica,1998,19(3):315-317. |
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| Authors: | Wang Song Cui Pingyuan Zhang Chiping Yang Di |
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| Institution: | P.O.Box 137, Harbin Institute of Technology, Harbin, 150001 |
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| Abstract: | The handling qualities of combat aircraft decline sharply when operating at high angles of attack. Wing rock phenomenon is one of the salient factors which contribute to this declination. In this paper, an adaptive control strategy based on neural networks is proposed which can implement efficient control while having little prior knowledge of the controlled plant. Simulation of a slender delta wing combat aircraft model with the unstable wing rock problem attests the efficiency of this control strategy. |
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| Keywords: | flight at high angle of attack wing rock nonlinear control neural networks adaptive control |
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