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.
Dynamic multi-UAVs formation reconfiguration based on hybrid diversity-PSO and time optimal control
2009 IEEE Intelligent Vehicles Symposium ; 775-779
2009-06-01
882964 byte
Conference paper
Electronic Resource
English
Dynamic Multi-UAVs Formation Reconfiguration Based on Hybrid Diversity-PSO and Time Optimal Control
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