太阳能Issue(2)：62-71,10.DOI:10.19911/j.1003-0417.tyn20241225.01
风电机组总装环境中智能自适应AGV路径规划算法
AGV PATH PLANNING ALGORITHM BASED ON INTELLIGENT ADAPTIVE IN WIND TURBINE ASSEMBLY ENVIRONMENTS
张政1
作者信息
- 1. 北京金风科创风电设备有限公司,北京 100176
- 折叠
摘要
Abstract
Due to the particularity of the wind turbine assembly environments,the path calculation efficiency of classical dynamic programming programming and Monte Carlo Tree Search(MCTS)algorithm is relatively low.To reduce computational complexity,an adaptive path planning algorithm for AGVs based on improved MCTS(i.e.DP-MCTS algorithm)is proposed in this paper.Firstly,the environment is abstractly modeled by gridding method.Then,heuristic search is introduced in MCTS algorithm to guide the search tree to expand towards the target point,and single-step update method is used to evaluate nodes in real time.The idea of multi-stage optimization of dynamic programming is combined to establish a dynamic MCTS algorithm,which further improves the path optimization efficiency.Finally,the feasibility and effectiveness of the proposed algorithm are simulated and verified through actual cases in different scenarios.The research results show that the DP-MCTS algorithm can effectively improve the efficiency of AGV path planning and reduce the energy consumption of the system.It can provide a design a basis for AGV path planning in such environments.关键词
风电机组/总装环境/动态规划/蒙特卡洛树搜索/自动导引车/智能自适应路径规划Key words
wind turbines/assembly environments/dynamic programming/MCTS/AGV/intelligent adaptive path planning分类
计算机与自动化引用本文复制引用
张政..风电机组总装环境中智能自适应AGV路径规划算法[J].太阳能,2025,(2):62-71,10.
