固体火箭技术2017，Vol.40Issue(2)：257-263,7.DOI:10.7673/j.issn.1006-2793.2017.02.022
高超声速飞行器自适应神经网络控制
Adaptive neural network controller design for hypersonic vehicle
摘要
Abstract
A nonlinear inversion-based controller with adaptive neural network compensation was designed for a class of hypersonic vehicle in the case that vehicle's nonlinear model comprises of nonlinear unknown uncertain function caused by unmodeled dynamics,aerodynamic parameter variation and unknown external disturbances were fully considered.Firstly the dynamic characteristics of system were separated as two components:a nominal component and an uncertain component.The controller for the nominal component was designed based on nonlinear inversion control scheme,and uncertain component was approximated by the neural network.The optimal weight matrix was adjusted by adaptive learning law to improve the online approximated capability of neural network.The modified variable structure controller was designed for eliminating the effects of the neural network approximated errors.The controller can guarantee that the tracking error converges to zero and all signals of closed loop system are bounded.The simulation results demonstrate the rightness of the proposed schemes.关键词
高超声速飞行器/自适应/神经网络/变结构控制Key words
hypersonic vehicle/adaptive/neural network/variable structure control分类
航空航天引用本文复制引用
赵贺伟,胡云安,梁勇,杨秀霞..高超声速飞行器自适应神经网络控制[J].固体火箭技术,2017,40(2):257-263,7.基金项目
航空基金(20140184001) （20140184001）
中国博士后基金(2015M572693). （2015M572693）
