Adaptive preview control with deck motion compensation for autonomous carrier landing of an aircraft

被引:25
作者
Bhatia, Ajeet Kumar [1 ]
Jiang, Ju [1 ]
Kumar, Aakash [2 ]
Shah, Syed Awais Ali [3 ]
Rohra, Avinash [1 ]
ZiYang, Zhen [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Jiangsu, Peoples R China
[2] Univ Sci & Technol China, Dept Automat, Hefei, Peoples R China
[3] Southeast Univ, Sch Elect Engn, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
ACLS; adaptive control; autonomous carrier landing; preview control; UKF; DESIGN; OPTIMIZATION; PREDICTION; VEHICLE; UAV;
D O I
10.1002/acs.3228
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, an autonomous carrier landing problem of an aircraft is addressed by developing an autonomous carrier landing system (ACLS) composed of previewable guidance and control systems. In the guidance system, an appropriate touchdown point is estimated by predicting the seakeeping motion of the deck by unscented Kalman filtering technique, which is then utilized to adjust the reference glide path and produce an effective deck motion compensation, indispensable for a safe landing. The adaptive preview control (APC) scheme is proposed, which utilizes future reference information. The feedback and feedforward adaptive gains are derived through the Lyapunov stability theorem ensuring better tracking response and disturbance rejection. Hence, the asymptotic stability of the closed-loop system is guaranteed. The simulation results depict better performance of the proposed ACLS in the presence of deck fluctuations and airwake disturbance compared with PID and LMI based preview control schemes.
引用
收藏
页码:769 / 785
页数:17
相关论文
共 43 条
[1]  
[Anonymous], 1972, ANAL NAVY APPROACH P
[2]  
Birla N., 2012, IFAC P VOLUMES, V45, P13, DOI [10.3182/20120213-3-IN-4034.00005, DOI 10.3182/20120213-3-IN-4034.00005]
[3]   Optimal preview control: A review [J].
Birla, Nidhika ;
Swarup, Akhilesh .
OPTIMAL CONTROL APPLICATIONS & METHODS, 2015, 36 (02) :241-268
[4]  
Birla N, 2013, CONTROL ENG APPL INF, V15, P71
[5]   Control system design optimisation via genetic programming [J].
Bourmistrova, A. ;
Khantsis, S. .
2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS, 2007, :1993-+
[6]  
Che J, 2001, IEEE DECIS CONTR P, P241, DOI 10.1109/CDC.2001.980105
[7]   AUTOMATIC CARRIER LANDING SYSTEM UTILIZING AIRCRAFT SENSORS [J].
CRASSIDIS, JL ;
MOOK, DJ ;
MCGRATH, JM .
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 1993, 16 (05) :914-921
[8]   Control parameter design for automatic carrier landing system via pigeon-inspired optimization [J].
Deng, Yimin ;
Duan, Haibin .
NONLINEAR DYNAMICS, 2016, 85 (01) :97-106
[9]  
Douglas S., 2013, 100 YEARS US NAVY AI
[10]  
Hess R. A., 1976, Journal of Aircraft, V13, P153, DOI 10.2514/3.44514