| 一种新的神经网络自适应逆飞行控制 |
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| 引用本文： | 周国栋,胡延霖,于克振. 一种新的神经网络自适应逆飞行控制[J]. 航空兵器, 2006, 0(4): 3-6 |
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| 作者姓名： | 周国栋 胡延霖 于克振 |
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| 作者单位： | 防空兵指挥学院,郑州,450052 |
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| 摘 要： | 针对非线性控制提出一套较理想的解决方案。在动态逆控制的基础上,利用神经网络的在线学习能力建立自适应控制结构,结合滑模控制的较强的鲁棒性和瞬态性,两次互补性地补偿误差,从而提高动态逆控制的鲁棒性,解决建模精度不高的问题。仿真结果表明这种方法对高性能无人机飞行控制设计研究具有一定理论指导意义和应用价值。
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| 关 键 词： | 神经网络 自适应控制 滑模控制 非线性控制 动态逆 |
| 文章编号： | 1673-5048(2006)04-0003-04 |
| 修稿时间： | 2006-04-19 |
A New Flight Control Law Using Adaptive Inversion Control Based on Neural Network |
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| ZHOU Guo-dong,HU Yan-lin,YU Ke-zhen. A New Flight Control Law Using Adaptive Inversion Control Based on Neural Network[J]. Aero Weaponry, 2006, 0(4): 3-6 |
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| Authors: | ZHOU Guo-dong HU Yan-lin YU Ke-zhen |
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| Affiliation: | Air Defense Command Academy, Zhengzhou 450052, China |
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| Abstract: | A new method for nonlinear flight control systems is presented.The method is based on dynamic inversion control theory,and an adaptive control structure is built using neural network,error is compensated twice using sliding mode control which exhibits excellent robustness and transient characteristic performance.The results indicate that the method are valuable for the control system design and research in advanced UAV. |
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| Keywords: | neural network adaptive control sliding mode control nonlinear control dynamic inversion |
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