Hardware-in-loop adaptive neural control for a tiltable V-tail morphing aircraft  

作　　者：Fu-xiang Qiao Jing-ping Shi Xiao-bo Qu Yong-xi Lyu 

机构地区：[1]School of Automation,Northwestern Polytechnical University,Xi'an,710129,China [2]Shaanxi Province Key Laboratory of Flight Control and Simulation Technology,Xi'an,710129,China

出　　处：《Defence Technology（防务技术）》2023年第4期197-211,共15页Defence Technology

基　　金：funded by the National Natural Science Foundation of China(No.61573286);the Natural Science Foundation of Shaanxi Province(2019JM-163,2020JQ-218);the Fundamental Research Funds for the Central Universities(3102019ZDHKY07);supported by Shaanxi Province Key Laboratory of Flight Control and Simulation Technology。

摘　　要：This paper proposes an adaptive neural control(ANC)method for the coupled nonlinear model of a novel type of embedded surface morphing aircraft which has a tiltable V-tail.A nonlinear model with sixdegrees-of-freedom is established.The first-order sliding mode differentiator(FSMD)is applied to the control scheme to avoid the problem of“differential explosion”.Radial basis function neural networks are introduced to estimate the uncertainty and external disturbance of the model,and an ANC controller is proposed based on this design idea.The stability of the proposed ANC controller is proved using Lyapunov theory,and the tracking error of the closed-loop system is semi-globally uniformly bounded.The effectiveness and robustness of the proposed method are verified by numerical simulations and hardware-in-the-loop(HIL)simulations.

关 键 词：Morphing aircraft Back-stepping control Adaptive control Neural networks Radial basis function 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] V249.1[自动化与计算机技术—控制科学与工程]