Integrated distributed formation flight control with aerodynamic constraints on attitude and control surfaces

被引:12
作者
Wang, Xueyuan [1 ]
Fang, Hao [1 ]
Dou, Lihua [1 ]
Xin, Bin [1 ]
Chen, Jie [1 ]
机构
[1] Beijing Inst Technol, Sch Automat, Key Lab Intelligent Control & Decis Complex Syst, Beijing 100081, Peoples R China
关键词
3-D formation control; Distributed control; Backstepping; Command filter; B-spline neural network; SYSTEMS; DESIGN; STATE;
D O I
10.1007/s11071-017-4016-x
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper investigates a 3-D leader-following formation control problem for a group of missiles with aerodynamic constraints. To cope with the large maneuvering formation flight in bank-to-turn control mode, an integrated backstepping-based distributed control scheme, combining the inner-loop attitude manipulation and outer-loop formation control, is proposed. Command filters are introduced to handle the control surface saturations caused by the physical limitations, and the attitude constraints derived from the coordinated turn requirements. In addition, the B-spline neural networks are adopted to reconstruct the uncertain aerodynamic force and moment coefficients, of which the unknown parameters are then online learned by the adaptive tuning laws. The proposed integrated distributed formation control protocol will guarantee that all states in the closed-loop systems are cooperatively semi-globally uniformly ultimately bounded. The formation tracking errors can converge into a small region around zero by properly adjusting the control parameters. Finally, numerical simulations are conducted to demonstrate the effectiveness of the proposed control scheme.
引用
收藏
页码:2331 / 2345
页数:15
相关论文
共 32 条
[1]   Swing-up and stabilization of a Twin-Pendulum under state and control constraints by a fast NMPC scheme [J].
Alamir, Mazen ;
Murilo, Andre .
AUTOMATICA, 2008, 44 (05) :1319-1324
[2]  
[Anonymous], THESIS
[3]  
Brent R. P, 2013, ALGORITHMS MINIMIZAT, P61
[4]   L 1 adaptive controller design for hypersonic formation flight [J].
Chen, Qi ;
Wan, Jing ;
Ai, JianLiang .
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2016, 59 (10) :1597-1608
[5]  
Cui NG, 2009, 2009 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-7, CONFERENCE PROCEEDINGS, P4197
[6]   Command Filtered Adaptive Backstepping [J].
Dong, Wenjie ;
Farrell, Jay A. ;
Polycarpou, Marios M. ;
Djapic, Vladimir ;
Sharma, Manu .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2012, 20 (03) :566-580
[7]   Backstepping-based flight control with adaptive function approximation [J].
Farrell, J ;
Sharma, M ;
Polycarpou, M .
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2005, 28 (06) :1089-1102
[8]  
Farrell J, 2004, P AMER CONTR CONF, P2557
[9]  
Farrell J. A., 2006, ADAPTIVE APPROXIMATI, P80
[10]   Command Filtered Backstepping [J].
Farrell, Jay A. ;
Polycarpou, Marios ;
Sharma, Manu ;
Dong, Wenjie .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2009, 54 (06) :1391-1395