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新一代歼击机超机动飞行的动态逆控制
引用本文:朱荣刚,姜长生,邹庆元,蔡世龙.新一代歼击机超机动飞行的动态逆控制[J].航空学报,2003,24(3):242-245.
作者姓名:朱荣刚  姜长生  邹庆元  蔡世龙
作者单位:南京航空航天大学自动化学院,江苏,南京,210016
基金项目:国家自然基金资助项目 (60 1740 45 ),航空第一集团基金资助项目 (0 1D5 2 0 2 5 )
摘    要: 根据反馈线性化理论, 讨论了神经网络自适应非线性动态逆控制设计。首先根据时标分离原则, 采用动态逆方法设计快回路和慢回路控制器; 其次提出基于模型逆的神经网络非线性直接自适应控制方案, 设计一种在线神经网络用于补偿模型逆误差。仿真表明, 该控制方案具有较好的自适应能力和鲁棒性。

关 键 词:模型逆  神经网络  自适应  
文章编号:1000-6893(2003)03-0242-04
修稿时间:2002年5月29日

Study on Dynamic Inversion Control and Simulation of Supermaneuverable Flight of the New Generation Fighter
ZHU Rong-gang,JIANG Chang-sheng,ZOU Qing-yuan,CAI Shi-long.Study on Dynamic Inversion Control and Simulation of Supermaneuverable Flight of the New Generation Fighter[J].Acta Aeronautica et Astronautica Sinica,2003,24(3):242-245.
Authors:ZHU Rong-gang  JIANG Chang-sheng  ZOU Qing-yuan  CAI Shi-long
Institution:Automation College; Nanjing University of Aeronautics and Astronautics; Nanjing 210016; China
Abstract:A discussion is devoted to designing neural network adaptive nonlinear dynamic inversion controllers according to the feedback linearization theory. Firstly, with two-time-scale, a design of a fast loop controller and a slow loop one is given using the dynamic inversion method. Secondly, a model inversion based neural network nonlinear direct adaptive scheme is presented, in which an online neural network is designed to compensate for the model inversion errors. It is demonstrated by the distributed simulation of a local area network that this adaptive control design is of better adaptability and robustness.
Keywords:model inversion  neural network  adaptive control
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