火力与指挥控制2026，Vol.51Issue(3)：66-73,8.DOI:10.3969/j.issn.1002-0640.2026.03.009
融合流体扰动与近端策略优化算法的路径规划研究
Research on Path Planning Integrating Fluid Disturbance and Proximal Policy Optimization Algorithms
摘要
Abstract
Path planning is one of the key problems in robotics and automation systems.Aiming at the frequent occurrence of moving targets and dynamic threats in the three-dimensional(3D)dynamic space,the simulation environment and related models of agent path planning are constructed,and the simulation process is determined.This study applies Proximal Policy Optimization(PPO)to adjust the initial path generated by the improved Fluid Disturbance algorithm,thereby achieving optimal decision-making.Simulation results demonstrate that,in 3D dynamic space,this algorithm outperforms baseline algorithms in terms of path planning convergence efficiency,path smoothness,and obstacle avoidance success rate.For scenarios involving movable obstacles and other dynamic conditions in 3D dynamic space,this algorithm optimizes the improved Fluid Disturbance algorithm and exhibits strong robustness and good adaptability.关键词
流体扰动算法/近端策略优化算法/路径规划/三维动态空间Key words
fluid disturbance algorithm/PPO/path planning/3D dynamic space分类
信息技术与安全科学引用本文复制引用
谷志新,贾珂怡,徐凯宏..融合流体扰动与近端策略优化算法的路径规划研究[J].火力与指挥控制,2026,51(3):66-73,8.基金项目
国家重点研究与发展计划基金资助项目(2022YFD1301104) （2022YFD1301104）
