DVFS在低空飞行器中的发展现状与趋势OA
Development Status and Trend of DVFS in Low Altitude Aircraft
为应对低空飞行器(low-altitude aircraft,LAA)日益增长的自主计算需求与有限机载能源之间的日益突出的矛盾,动态电压频率调整(dynamic voltage and frequency scaling,DVFS)技术作为平衡性能与功耗的关键,对提升LAA 续航与任务能力具有重要研究价值.在剖析 LAA 异构计算架构与动态负载特性的基础上,系统梳理了 DVFS技术的演进路径,总结了从传统启发式、前瞻性预测式,到基于学习的自适应式与面向异构平台的系统级协同优化等主流方法,并对比分析了各类策略在实时性保障、动态响应与实现复杂度等方面的优劣.以水空跨介质飞行器(aerial-aquatic vehicles,AAVs)为例,重点探讨了极端工况对现有 DVFS 技术提出的严峻挑战.结合当前研究的不足,对未来融合模式感知、轻量化预测与多维度资源协同的整体式管理框架进行了展望.
To cope with the increasingly prominent conflict between the increasing demand for autonomous computing and the limited on-board energy for low-altitude aircraft(LAA),as the key to balance performance and power consumption,dynamic voltage and frequency scaling(DVFS)technology has important research value to improve the endurance and mission capability of LAA.Based on the analysis of LAA heterogeneous computing architecture and dynamic load characteristics,the evolution path of DVFS technology is systematically combed,and the mainstream methods are summarized from traditional heuristic and forward-looking prediction to learning-based adaptive and system-level collaborative optimization for heterogeneous platforms.The advantages and disadvantages of these strategies in terms of real-time guarantee,dynamic response and implementation complexity are compared and analyzed.Taking the aerial-aquatic vehicles(AAVs)as an example,the severe challenges to the existing DVFS technology under extreme conditions are discussed.Considering the shortcomings of current research,the future integrated management framework,which integrates mode perception,lightweight prediction and multi-dimensional resource collaboration,is prospected.
王鹏飞;张锦绣
中山大学航空航天学院,广东 深圳 518107中山大学航空航天学院,广东 深圳 518107
信息技术与安全科学
LAADVFS实时系统能效优化AAVS
LAADVFSreal-time systemenergy efficiency optimizationAAVS
《兵工自动化》 2026 (3)
48-57,10
广东省科技计划项目(2025B1111130002)广东省专项支持计划项目(2023TX07A477)南方海洋科学与工程广东省实验室(珠海)(SML2023SP229SML2024SP007)
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