Multi-UAVs Formation Autonomous Control Method Based on RQPSO-FSM-DMPC
Joint Authors
Zhou, Shao-lei
Chao, Zhou
Kang, Yuhang
Dai, Hong-de
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-20
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
For various threats in the enemy defense area, in order to achieve covert penetration and implement effective combat against enemy, the unmanned aerial vehicles formation needs to be reconfigured in the process of penetration; the mutual collision avoidance problems and communication constraint problems among the formation also need to be considered.
By establishing the virtual-leader formation model, this paper puts forward distributed model predictive control and finite state machine formation manager.
Combined with distributed cooperative strategy establishing the formation reconfiguration cost function, this paper proposes that adopting the revised quantum-behaved particle swarm algorithm solves the cost function, and it is compared with the result which is solved by particle swarm algorithm.
Simulation result shows that this algorithm can control multiple UAVs formation autonomous reconfiguration effectively and achieve covert penetration safely.
American Psychological Association (APA)
Zhou, Shao-lei& Kang, Yuhang& Dai, Hong-de& Chao, Zhou. 2016. Multi-UAVs Formation Autonomous Control Method Based on RQPSO-FSM-DMPC. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1112239
Modern Language Association (MLA)
Zhou, Shao-lei…[et al.]. Multi-UAVs Formation Autonomous Control Method Based on RQPSO-FSM-DMPC. Mathematical Problems in Engineering No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1112239
American Medical Association (AMA)
Zhou, Shao-lei& Kang, Yuhang& Dai, Hong-de& Chao, Zhou. Multi-UAVs Formation Autonomous Control Method Based on RQPSO-FSM-DMPC. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1112239
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112239