Dynamic Multi-UAVs Formation Reconfiguration Based on Hybrid Diversity-PSO and Time Optimal Control

被引：20

作者：

Bai, Chen ^{[1
]}

Duan, Haibin ^{[1
]}

Li, Chun ^{[1
]}

Zhang, Yunpeng ^{[1
]}

机构：

[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China

来源：

2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1 AND 2 | 2009年

关键词：

D O I：

10.1109/IVS.2009.5164376

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：775 / 779

页数：5

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