| 一种在线神经网络在补偿飞机模型不确定性误差中的应用 |
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| 引用本文： | 朱家强,郭锁凤.一种在线神经网络在补偿飞机模型不确定性误差中的应用[J].南京航空航天大学学报,2003,35(1):86-90. |
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| 作者姓名： | 朱家强 郭锁凤 |
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| 作者单位： | 南京航空航天大学自动化学院,南京,210016 |
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| 摘 要： | 讨论了一种基于神经网络动态逆的直接自适应控制方法，并应用于超机动飞机的飞行控制中。基本控制律采用非线性动态逆方法进行设计，对由于模型不准确导致的逆误差采用单隐层神经网络进行在线补偿。仿真结果表明，神经网络通过补偿由于模型不准确引起的逆误差，弥补了非线性动态逆要求精确数学模型的缺点，提高了整个控制系统的鲁棒性，而且可以大大简化动态逆控制律的设计。
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| 关 键 词： | 自适应控制 动态逆 神经网络 飞行控制 超机动 |
| 文章编号： | 1005-2615(2003)01-0086-05 |
| 修稿时间： | 2002年4月8日 |
Application of Online Neural Network for Compensating Uncertain Error of Aircraft Model |
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| Zhu Jiaqiang,Guo Suofeng College of Automation Engineering,Nanjing University of Aeronautics & Astronautics,Nanjing,China.Application of Online Neural Network for Compensating Uncertain Error of Aircraft Model[J].Journal of Nanjing University of Aeronautics & Astronautics,2003,35(1):86-90. |
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| Authors: | Zhu Jiaqiang Guo Suofeng College of Automation Engineering Nanjing University of Aeronautics & Astronautics Nanjing China |
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| Institution: | Zhu Jiaqiang,Guo Suofeng College of Automation Engineering,Nanjing University of Aeronautics & Astronautics,Nanjing,210016,China |
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| Abstract: | An adaptive controller with a neural network compensator is designed and applied in the control of a super-maneuvering aircraft. The base control law is designed by nonlinear dynamic inversion method, and single hidden layer (SHL) neural networks are used to compensate the inversion error induced by the inaccuracy of the system model. Simulational results show that the limitation of the accurate mathematical model used in dynamic inversion method can be released through adaptively canceling inversion error in neural networks and the robustness of the control system is improved. Besides, the design of dynamic inversion control law can be simplified by the online neural networks. |
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| Keywords: | adaptive control dynamic inversion neural network flight control super maneuver |
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