| 常规飞机的神经网络逆模型 |
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| 引用本文： | 林靖宇,林清宇. 常规飞机的神经网络逆模型[J]. 系统仿真学报, 2006, 18(8): 2082-2085 |
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| 作者姓名： | 林靖宇 林清宇 |
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| 作者单位： | 1. 广西大学电气工程学院,广西,南宁,530004
2. 广西大学化学化工学院,广西,南宁,530004 |
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| 摘 要： | 推导了用低维的神经网络实现常规飞机逆模型的公式。先通过气动方程将飞机的角加速度转换为气动力矩系数,然后根据已知的气动力矩系数与状态变量和舵面偏转量的关系,得到低阶的逆模型方程。接着通过仿真研究了离线训练sigma-pi网络实现F16逆模型的方法。
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| 关 键 词： | 神经网络 逆模型 sigma-pi网络 飞行控制 |
| 文章编号： | 1004-731X（2006）08-2082-04 |
| 收稿时间： | 2005-06-13 |
| 修稿时间： | 2006-01-27 |
Conventional Aircraft Inverse Model Using Neural Networks |
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| LIN Jing-yu,LIN Qing-yu. Conventional Aircraft Inverse Model Using Neural Networks[J]. Journal of System Simulation, 2006, 18(8): 2082-2085 |
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| Authors: | LIN Jing-yu LIN Qing-yu |
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| Abstract: | Equations of conventional aircraft inverse model using neural networks were proposed.Attitude accelerations were translated into aerodynamic moment coefficients by aerodynamic equations,and then the relation between aerodynamic moment coefficients and aircraft states and control surfaces deflection yielded degraded inverse model equations.And off-line training approach of F16 inverse model using sigma-pi networks was researched in simulation. |
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| Keywords: | neural networks inverse model sigma-pi network flight control |
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