TY - JOUR
T1 - Modeling and design of trajectory of multi-MAVs for coveraging multi-targets in non-cooperative manner
AU - Du, Ye Hong
AU - Yu, Hao
AU - Zhang, Jun
AU - Li, Jie
AU - Xu, Xing Jian
N1 - Publisher Copyright:
© 2016, Editorial Board of Acta Armamentarii. All right reserved.
PY - 2016/5/1
Y1 - 2016/5/1
N2 - To improve the adaptabilities of reconnaissance and attack of multi-MAVs, the trajectory of multi-MAVs for coveraging the multi-targets in non-cooperative manner is modeled. The take-off point coordinates of MAVs are simulated using cloud model, and the taking-off direction is simulated by Monte Carlo method. The target zone model, MAV detection model, take-off point model, flight direction model and trajectory model are established. To improve the efficiency of the optimization design, the minimum number of simulations is determined based on the stability analysis of the expected coverage. The multi-target problem is solved by MOGA, and the regional coverage trajectory of multi-MAVs in non-cooperative manner is determined. The problems that can be solved by the schemes are analyzed according to the ratio of detecting radius to target zone radius. The designed trajectories reduce difficulty in control, and take coverage, the number of MAVs and flying range of MAV into account.
AB - To improve the adaptabilities of reconnaissance and attack of multi-MAVs, the trajectory of multi-MAVs for coveraging the multi-targets in non-cooperative manner is modeled. The take-off point coordinates of MAVs are simulated using cloud model, and the taking-off direction is simulated by Monte Carlo method. The target zone model, MAV detection model, take-off point model, flight direction model and trajectory model are established. To improve the efficiency of the optimization design, the minimum number of simulations is determined based on the stability analysis of the expected coverage. The multi-target problem is solved by MOGA, and the regional coverage trajectory of multi-MAVs in non-cooperative manner is determined. The problems that can be solved by the schemes are analyzed according to the ratio of detecting radius to target zone radius. The designed trajectories reduce difficulty in control, and take coverage, the number of MAVs and flying range of MAV into account.
KW - MAV
KW - Multi-target optimization
KW - Non-cooperative manner
KW - Ordnance science and technology
KW - Regional coverage
KW - Trajectory design
UR - http://www.scopus.com/inward/record.url?scp=84977646097&partnerID=8YFLogxK
U2 - 10.3969/j.issn.1000-1093.2016.05.023
DO - 10.3969/j.issn.1000-1093.2016.05.023
M3 - Article
AN - SCOPUS:84977646097
SN - 1000-1093
VL - 37
SP - 936
EP - 944
JO - Binggong Xuebao/Acta Armamentarii
JF - Binggong Xuebao/Acta Armamentarii
IS - 5
ER -