Title
Noncertainty-equivalent observer-based noncooperative target tracking control for unmanned aerial vehicles
Abstract
Target tracking is a typical and challenging scenario that is required to be executed by unmanned aerial vehicles (UAVs) in operational environments. This work investigates the noncooperative target tracking control problem for UAVs. An integrated model is constructed by combining the dynamics of both the line-of-sight variables and the acceleration components. Particularly, the dynamics of the acceleration components, that contain unmeasurable states, characterize the relative motion between the noncooperative target and the UAV. To estimate these states, a globally convergent observer is developed by utilizing the noncertainty-equivalent (NCE) structure. With the integrated model and the NCE observer, an outputfeedback target tracking control scheme is proposed using the dynamic surface control technique and the prescribed performance control method. Based on the Lyapunov approach, the relative spatial positions of the target and the UAV are proved to always stay within a specified operation region and ultimately converge to a small terminal region. Finally, simulation results are presented to illustrate the effectiveness of the proposed target tracking control scheme.
Year
DOI
Venue
2022
10.1007/s11432-020-3205-4
Science China Information Sciences
Keywords
DocType
Volume
noncooperative target tracking, unmanned aerial vehicles, noncertainty-equivalent observer, prescribed performance control
Journal
65
Issue
ISSN
Citations 
5
1674-733X
1
PageRank 
References 
Authors
0.35
23
3
Name
Order
Citations
PageRank
Kenan Yong110.35
Mou Chen2125159.31
Qing-xian Wu310510.76