Adaptive non-singular fault-tolerant control for hypersonic vehicle with unexpected centroid shift

被引:13
|
作者
Meng, Yizhen [1 ,2 ]
Jiang, Bin [1 ,2 ]
Qi, Ruiyun [1 ,2 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Jiangsu, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Minist Ind & Informat Technol, Key Lab Nav Control & Hlth Management Technol Adv, Nanjing, Jiangsu, Peoples R China
来源
IET CONTROL THEORY AND APPLICATIONS | 2019年 / 13卷 / 12期
基金
中国国家自然科学基金;
关键词
aerodynamics; variable structure systems; radial basis function networks; aircraft control; adaptive control; neurocontrollers; predictive control; control system synthesis; fault tolerant control; motion control; vehicle dynamics; mechanical stability; matrix algebra; adaptive nonsingular fault-tolerant control; hypersonic vehicle; unexpected centroid shift; HSV; actuator fault; adaptive fault-tolerant control method; control derivatives; system input matrix; improved sliding mode control; adaptive estimation method; control slow-loop; adaptive radial basis function neural network; fast-loop controller; nonsingular fault-tolerant controller; fault-tolerant control algorithm; off-nominal flight conditions; aerodynamic modelling; aerodynamic parameters; eccentric moment; lateral motion; longitudinal motion; nonlinear general predictive control; TRACKING CONTROL; DISTURBANCE OBSERVER; SPACE-VEHICLE; DESIGN; PERFORMANCE; AIRCRAFT;
D O I
10.1049/iet-cta.2018.5578
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A study on hypersonic vehicle (HSV) with centroid shift and actuator fault is made to investigate the adaptive fault-tolerant control for stability recovery of HSV operating in off-nominal conditions. Based on the modelling and analyzing the influence of centroid shift and actuator fault on HSV, the centroid shift can cause system uncertainty, variation of inertial matrix, eccentric moment and strong coupling between the longitudinal and lateral motions, resulting in the high demand for controller. According to the difference of response time, the attitude system of HSV is divided into slow and fast loop. For handling the effect of centroid shift, actuator fault and external disturbance, an improved sliding mode controller combined with adaptive estimator is designed for the slow-loop. Nonlinear general predictive controller (NGPC) assisted by adaptive radial basis function neural network (RBFNN) is developed for fast-loop. In addition, the nonsingular improvements to fast-loop controller are also made to cope with such the problem caused by the estimation of inertial matrix. The stability and tracking ability of the system are analyzed by the Lyapunov theorem of stability. At last, the simulation results show that the fault-tolerant control algorithm provided in this paper is very effective.
引用
收藏
页码:1773 / 1785
页数:13
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