高技术通讯2025，Vol.35Issue(7)：760-766,7.DOI:10.3772/j.issn.1002-0470.2025.07.008
基于模糊熵-云模型的四旋翼无人机多目标路径规划
Multi-objective optimization of path planning for quadrotor UAV based on fuzzy entropy-cloud model
摘要
Abstract
Aiming at the fuzziness,randomness,and weight allocation issues of uncertain information in multi-objective optimization of path planning for quadrotor unmanned aerial vehicle(UAV),this paper presents a multi-objective algorithm based on fuzzy entropy and cloud model.Firstly,the path length,angle sum and total hazard of quadrotor UAV are selected as the optimal functions to construct the path planning model of UAV with multi objectives;sec-ondly,the fuzzy entropy is defined to describe the combined weights of the multi-objective optimal mode,and the membership functions of fuzzy entropy are defined by the cloud models to deal with the uncertainty of each sub-ob-jective;finally,the particle swarm algorithm is applied to find the optimal fitness allocation of the designed multi-objective function.The simulation results show that the designed algorithm achieves low energy consumption,high efficiency and high safety for the multi-objective path planning of quadrotor UAV.关键词
四旋翼无人机/路径规划/多目标优化/模糊熵/云模型Key words
quadrotor UAV/path planning/multi-objective optimization/fuzzy entropy/cloud model引用本文复制引用
黄卫华,边琳..基于模糊熵-云模型的四旋翼无人机多目标路径规划[J].高技术通讯,2025,35(7):760-766,7.基金项目
国家自然科学基金(62303359)资助项目. （62303359）
