Robust adaptive control of hypersonic vehicle considering inlet unstart

• 作者: WANG Fan FAN Pengfei FAN Yonghua XU Bin YAN Jie
• 来源期刊: 系统工程与电子技术（英文版）
• 年，卷（期）: 2022,（1）
• 所属期刊栏目: CONTROL THEORY AND APPLICATION
• 页码范围: 188-196
• 页数: 9页
• 语种: 英文
• DOI: 10.23919/JSEE.2022.000019

摘要

In this paper,a model reference adaptive control(MRAC)augmentation method of a linear controller is proposed for air-breathing hypersonic vehicle(AHV)during inlet unstart.With the development of hypersonic flight technology,hyperso-nic vehicles have been gradually moving to the stage of weaponi-zation.During the maneuvers,changes of attitude,Mach num-ber and the back pressure can cause the inlet unstart phe-nomenon of scramjet.Inlet unstart causes significant changes in the aerodynamics of AHV,which may lead to deterioration of the tracking performance or instability of the control system.There-fore,we firstly establish the model of hypersonic vehicle consi-dering inlet unstart,in which the changes of aerodynamics caused by inlet unstart is described as nonlinear uncertainty.Then,an MRAC augmentation method of a linear controller is proposed and the radial basis function(RBF)neural network is used to schedule the adaptive parameters of MRAC.Furthermore,the Lyapunov function is constructed to prove the stability of the proposed method.Finally,numerical simulations show that com-pared with the linear control method,the proposed method can stabilize the attitude of the hypersonic vehicle more quickly after the inlet unstart,which provides favorable conditions for inlet re-start,thus verifying the effectiveness of the augmentation me-thod proposed in the paper.