A Virtual Motion Camouflage Approach for Cooperative Trajectory Planning of Multiple UCAVs
Joint Authors
Gu, Xueqiang
Shen, Lincheng
Zhang, Wanpeng
Chen, Jing
Zhang, Yu
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-22
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
This paper investigates cooperative trajectory planning of multiple unmanned combat aerial vehicles (multi-UCAV) in performing autonomous cooperative air-to-ground target attack missions.
By integrating an approximate allowable attack region model, several constraint models, and a multicriterion objective function, the problem is formulated as a cooperative trajectory optimal control problem (CTOCP).
Then, a virtual motion camouflage (VMC) for cooperative trajectory planning of multi-UCAV, combining with the differential flatness theory, Gauss pseudospectral method (GPM), and nonlinear programming, is designed to solve the CTOCP.
In particular, the notion of the virtual time is introduced to the VMC problem formulation to handle the temporal cooperative constraints.
The simulation experiments validate that the CTOCP can be effectively solved by the cooperative trajectory planning algorithm based on VMC which integrates the spatial and temporal constraints on the trajectory level, and the comparative experiments illustrate that VMC based algorithm is more efficient than GPM based direct collocation method in tackling the CTOCP.
American Psychological Association (APA)
Gu, Xueqiang& Shen, Lincheng& Chen, Jing& Zhang, Yu& Zhang, Wanpeng. 2014. A Virtual Motion Camouflage Approach for Cooperative Trajectory Planning of Multiple UCAVs. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-495626
Modern Language Association (MLA)
Gu, Xueqiang…[et al.]. A Virtual Motion Camouflage Approach for Cooperative Trajectory Planning of Multiple UCAVs. Mathematical Problems in Engineering No. 2014 (2014), pp.1-15.
https://search.emarefa.net/detail/BIM-495626
American Medical Association (AMA)
Gu, Xueqiang& Shen, Lincheng& Chen, Jing& Zhang, Yu& Zhang, Wanpeng. A Virtual Motion Camouflage Approach for Cooperative Trajectory Planning of Multiple UCAVs. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-495626
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495626