HOSVD-based LPV modeling and mixed robust H_2/H_∞ control design for air-breathing hypersonic vehicle

作     者：Wei Jiang Hongli Wang Jinghui Lu Zheng Xie 

作者机构：Department of Control EngineeringXi'an Institute of High-Tech Department of Launching EngineeringXi'an Institute of High-Tech 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2016年第27卷第1期

页      面：183-191页

核心收录：

学科分类：08[工学] 081105[工学-导航、制导与控制] 0811[工学-控制科学与工程] 

基　　金：supported by the National Natural Science Foundation of China(61203007 61304239 61503392) the Natural Science Foundation of Shaanxi Province(2015JQ6213) 

主　　题：high order singular value decomposition(HOSVD) linear parameter varying(LPV) tensor product model transformation linear matrix inequality(LMI) air breathing hypersonic vehicle 

摘      要：This paper focuses on synthesizing a mixed robust H_2/H_∞ linear parameter varying（LPV） controller for the longitudinal motion of an air-breathing hypersonic vehicle via a high order singular value decomposition（HOSVD） *** design of hypersonic flight control systems is highly challenging due to the enormous complexity of the vehicle dynamics and the presence of significant *** by recent results on both LPV control and tensor-product（TP） model transformation approach,the velocity and altitude tracking control problems for the air-breathing hypersonic vehicle is reduced to that of a state feedback stabilizing controller design for a polytopic LPV system with guaranteed *** controller implementation is converted into a convex optimization problem with parameterdependent linear matrix inequalities（LMIs） constraints,which is intuitively tractable using LMI control ***,numerical simulation results demonstrate the effectiveness of the proposed approach.