基于GDMPC-MOABC的协同作战系统中UCRNs的最优调整

2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN) Pub Date : 2021-11-25 DOI:10.1109/icicn52636.2021.9673839

Y. Zhong, L. Wan

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引用次数: 0

摘要

针对有人/无人机协同作战系统中无人通信中继节点(UCRNs)的最优调整问题，建立了两层数学模型进行描述，并采用贪婪分布式模型预测控制(GDMPC)和多目标人工蜂群(MOABC)方法进行求解。依次提出了问题描述与元素定义、无人通信中继节点运动学模型、问题建模、GDMPC框架和基于MOABC的子系统优化方案，最后进行了仿真实验，验证了模型的正确性和算法的有效性。

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Optimal Adjustment of UCRNs in Cooperative Engagement System Based on GDMPC-MOABC

Aiming at the optimal adjustment of unmanned communication relay nodes (UCRNs) problem in manned/ unmanned aerial vehicle cooperative engagement system, this paper established a two–layer mathematical model to describe it and solved it through a greedy distributed model predictive control (GDMPC) and multi–objective artificial bee colony (MOABC) method. Problem description and element definition, kinematic model of unmanned communication relay nodes, modeling of the problem, GDMPC framework and subsystem optimization solution based on MOABC were in sequence presented, and finally, simulation experiments were carried on to verify the correctness of the model and the effectiveness of the algorithm.

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2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)

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