%0 Journal Article
%T Neural network based robust dynamic inversion flight control<br>基于神经网络的鲁棒自适应逆飞行控制
%A ZHU Jia-qiang
%A ZHU Ji-hong
%A GUO Suo-feng
%A SUN Zeng-qi
%A <br>朱家强
%A 朱纪洪
%A 郭锁凤
%A 孙增圻
%J 控制理论与应用
%D 2005
%I 
%X 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.
%K neural network(NN)
%K adaptive control
%K flight control
%K dynamic inversion
%K super maneuver<br>神经网络(NN)
%K 自适应控制
%K 飞行控制
%K 动态逆
%K 超机动
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=3619DE81E73A46A3&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=0B39A22176CE99FB&sid=B1F98368A47B8888&eid=847B14427F4BF76A&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=5&reference_num=14