引用本文:袁奥特,蔡涛,蓝建宇.激光传能网络的双层优化能量路由策略研究[J].控制理论与应用,2025,42(4):703~712.[点击复制]
Yuan Ao-te,CAI Tao,LAN Jian-yu.Energy routing strategy of laser power transmission network based on two-layer optimization[J].Control Theory & Applications,2025,42(4):703~712.[点击复制]
激光传能网络的双层优化能量路由策略研究
Energy routing strategy of laser power transmission network based on two-layer optimization
摘要点击 5  全文点击 1  投稿时间：2023-02-26  修订日期：2025-03-05
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DOI编号  10.7641/CTA.2023.30085
  2025,42(4):703-712
中文关键词  激光传能  路径规划  效率优化  粒子群算法  Dijkstra算法
英文关键词  laser power transmission  path planning  efficiency optimization  particle swarm optimization  Dijkstra algorithm
基金项目  基础加强计划重点基础研究项目(2020–JCJQ–245–12–02)资助.
作者单位E-mail
袁奥特 强电磁技术全国重点实验室(华中科技大学) 462098649@qq.com 
蔡涛* 强电磁技术全国重点实验室(华中科技大学) caitao@hust.edu.cn 
蓝建宇 上海空间电源研究所  
中文摘要
      激光传能系统的供能质量差和传能效率低是制约其发展的重要因素.为提升传能网络的鲁棒性,减少传能 损耗,对网络的路由策略进行了研究.通过对网络架构的分析和对激光传输效率计算式的修正,将传能网络抽象成 权重图.针对传能网络多维耦合的特点,提出了一种时空解耦下的双层优化策略.第1层优化在空间上进行,基于 Dijkstra 算法求取状态最优的传能路径;第2层优化在时间上进行,以最优传能路径为基础,基于内层迭代粒子群 (PSO)算法优化网络中各设备的充/放电功率.通过对一个无人机巡航系统进行仿真,验证了所提出的双层优化策略 的有效性和可行性.
英文摘要
      The low transfer efficiency and poor robustness are important obstacles restricting the development of laser power transmission. The routing strategy of the network has been studied for efficient and reliable energy transfer. The paper analyzed the architecture of the laser power transmission network, modified the calculation formula of laser trans mission efficiency in the atmosphere, and abstracted the network into a weight graph. Considering the multidimensional coupling characteristics in the laser power transmission network, a two-layer optimization strategy with spatio-temporal decoupling is proposed. The first layer optimization realizes path planning based on Dijkstra algorithm to find the most efficient energy transmission path. The second layer optimization is based on the optimal paths, takes the total loss as the objective function, builds mathematical models and solves it with inner iterative PSO algorithm. Through the simulation of a unmanned aerial vehicle (UAV) cruise system under different control strategies, the effectiveness and feasibility of the two-layer optimization strategy are verified.