| 引用本文: | 朱家强, 朱纪洪, 郭锁凤, 孙增圻.基于神经网络的鲁棒自适应逆飞行控制[J].控制理论与应用,2005,22(2):182~188.[点击复制] |
| ZHU Jia-qiang, ZHU Ji-hong, GUO Suo-feng, SUN Zeng-qi.Neural network based robust dynamic inversion flight control[J].Control Theory and Technology,2005,22(2):182~188.[点击复制] |
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| 基于神经网络的鲁棒自适应逆飞行控制 |
| Neural network based robust dynamic inversion flight control |
| 摘要点击 1589 全文点击 1677 投稿时间：2003-05-02 修订日期：2004-05-24 |
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| DOI编号 10.7641/j.issn.1000-8152.2005.2.004 |
| 2005,22(2):182-188 |
| 中文关键词 神经网络(NN) 自适应控制 飞行控制 动态逆 超机动 |
| 英文关键词 neural network(NN) adaptive control flight control dynamic inversion super maneuver |
| 基金项目 中国博士后科学基金资助项目;; 国家863计划资助项目(2003AA755024). |
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| 中文摘要 |
| 提出基于在线神经网络的超机动飞行自适应动态逆鲁棒控制方法.超机动飞行的基本控制律采用非线性动态逆方法设计,对于建模误差或者控制面损伤等因素导致的不确定性逆误差采用神经网络进行自适应补偿.通过动态逆控制律简化计算和飞机控制面故障自适应修复的仿真表明,神经网络通过在线补偿逆误差,能够有效降低非线性动态逆对模型准确性的要求,增强控制系统的鲁棒性. |
| 英文摘要 |
| An adaptive dynamic inversion controller design method based on neural network(NN) is proposed for super maneuverable fighter aircrafts.The basic control law is developed in nonlinear dynamic inversion;on-line learning neural networks are implemented to compensate inversion errors due to modeling error or actuator faults.Simulations of compensating simplified calculation and actuator failure are presented.The results demonstrate that through adaptively compensating inversion error by neural networks,the limitation of needing accurate mathematical model in dynamic inversion method is released and the robustness of the whole system is greatly enhanced. |
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