TY - GEN
T1 - Dynamic multi-UAVs formation reconfiguration based on hybrid diversity-PSO and time optimal control
AU - Bai, Chen
AU - Duan, Haibin
AU - Li, Chun
AU - Zhang, Yunpeng
PY - 2009
Y1 - 2009
N2 - This paper proposed a novel hybrid diversity particle swarm optimization (PSO) and time optimal control approach to multiple unmanned aerial vehicles (multi-UAVs) formation reconfiguration in dynamic and complicated environments. Based on the modeling of the dynamic environments, a novel diversity PSO model is proposed. In order to track the dynamic changes, the fitness function changes along with iteration. The procedure for solving the multi-UAVs formation reconfiguration problem is also given in detail. Series simulation results verified the feasibility and effectiveness of the proposed method for solving the multi-UAVs formation reconfiguration problems in complicated and dynamic environments.
AB - This paper proposed a novel hybrid diversity particle swarm optimization (PSO) and time optimal control approach to multiple unmanned aerial vehicles (multi-UAVs) formation reconfiguration in dynamic and complicated environments. Based on the modeling of the dynamic environments, a novel diversity PSO model is proposed. In order to track the dynamic changes, the fitness function changes along with iteration. The procedure for solving the multi-UAVs formation reconfiguration problem is also given in detail. Series simulation results verified the feasibility and effectiveness of the proposed method for solving the multi-UAVs formation reconfiguration problems in complicated and dynamic environments.
UR - https://www.scopus.com/pages/publications/70449556644
U2 - 10.1109/IVS.2009.5164376
DO - 10.1109/IVS.2009.5164376
M3 - 会议稿件
AN - SCOPUS:70449556644
SN - 9781424435043
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 775
EP - 779
BT - 2009 IEEE Intelligent Vehicles Symposium
T2 - 2009 IEEE Intelligent Vehicles Symposium
Y2 - 3 June 2009 through 5 June 2009
ER -