| Resilience optimization for multi-UAV formation optimization |
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| 作者姓名： | Qiang FENG Xingshuo HAI Bo SUN Yi REN Zili WANG Dezhen YANG Yaolong HU Ronggen FENG |
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| 作者单位： | School of Reliability and System Engineering,Beihang University,Beijing 100191,China |
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| 基金项目： | supported by the National Defense Pre-Research Foundation of China (No. 61400020109)； |
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| 摘 要： | This paper develops a novel optimization method oriented to the resilience of multiple Unmanned Aerial Vehicle(multi-UAV) formations to achieve rapid and accurate reconfiguration under random attacks. First, a resilience metric is applied to reflect the effect and rapidity of multi-UAV formation resisting random attacks. Second, an optimization model based on a parameter optimization problem to maximize the system resilience is established. Third, an Adaptive Learning-based Pigeon-Inspired Optim...
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| 收稿时间： | 5 June 2020 |
Resilience optimization for multi-UAV formation reconfiguration via enhanced pigeon-inspired optimization |
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| Qiang FENG,Xingshuo HAI,Bo SUN,Yi REN,Zili WANG,Dezhen YANG,Yaolong HU,Ronggen FENG.Resilience optimization for multi-UAV formation optimization[J].Chinese Journal of Aeronautics,2022,35(1):110-123. |
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| Authors: | Qiang FENG Xingshuo HAI Bo SUN Yi REN Zili WANG Dezhen YANG Yaolong HU Ronggen FENG |
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| Institution: | School of Reliability and System Engineering, Beihang University, Beijing 100191, China |
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| Abstract: | This paper develops a novel optimization method oriented to the resilience of multiple Unmanned Aerial Vehicle(multi-UAV)formations to achieve rapid and accurate reconfiguration under random attacks.First,a resilience metric is applied to reflect the effect and rapidity of multi-UAV formation resisting random attacks.Second,an optimization model based on a param-eter optimization problem to maximize the system resilience is established.Third,an Adaptive Learning-based Pigeon-Inspired Optimization(ALPIO)algorithm is designed to optimize the resi-lience value.Finally,typical formation topologies with six UAVs are investigated as a case study to verify the proposed approach.The experimental results indicate that the proposed scheme can achieve resilience optimization for a multi-UAV formation reconfiguration by increasing the system resilience values to 97.53％and 81.4％after random attacks. |
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| Keywords: | Formation reconfiguration Parameter optimization Pigeon-inspired optimiza-tion Resilience Unmanned aerial vehicles |
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