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面向多运输任务的节能单负载AGV路径规划研究
引用本文:李俊兰,张中伟,吴立辉,武照云.面向多运输任务的节能单负载AGV路径规划研究[J].制造技术与机床,2022(3):62-67.
作者姓名:李俊兰  张中伟  吴立辉  武照云
作者单位:河南工业大学机电工程学院
基金项目:国家自然科学基金资助项目(U1704156);河南省科技攻关计划资助项目(212102210357);河南工业大学高层次人才科研基金资助项目(2017BS014)。
摘    要:节能路径规划已被证明是提高自动导引运输车(automated guided vehicle,AGV)使用过程能效,促进生产车间节能的一种可行方法.目前从路径规划角度开展的AGV能耗优化研究主要面向单项运输任务,很少涉及多项运输任务.为此,以单负载AGV为研究对象,建立了面向多运输任务,以运输距离和能耗为优化目标的节能A...

关 键 词:自动导引运输车  能量消耗  多运输任务  路径规划  非支配排序遗传算法

Energy-efficient path planning for a single-load AGV executing multiple transport tasks
LI Junlan,ZHANG Zhongwei,WU Lihui,WU Zhaoyun.Energy-efficient path planning for a single-load AGV executing multiple transport tasks[J].Manufacturing Technology & Machine Tool,2022(3):62-67.
Authors:LI Junlan  ZHANG Zhongwei  WU Lihui  WU Zhaoyun
Affiliation:(School of Mechanical and Electrical Engineering,Henan University of Technology,Zhengzhou 450001,CHN)
Abstract:Energy-efficient path planning has been proved to be a feasible approach to improve the energy efficiency of an automated guided vehicle(AGV)and promote the energy saving of a manufacturing workshop.Current research on AGV energy consumption(EC)optimization from the perspective of path planning mainly focuses on a single transport task,and rarely involves multiple transport tasks.To fill the gap,with a single load AGV as the research object,an energy-efficient AGV path planning model is established,which is oriented to multiple transport tasks and takes transport distance and EC as the optimization objectives.Then,a two-stage solution method is proposed.In the first stage,the energy-efficient AGV path planning is executed for the load transport stage associated with each transport task,and the possible no-load transport stages,to obtain the corresponding optimal paths.In the second stage,the non-dominated sorting genetic algorithm-II is adopted to determine the optimal transport task execution order and select the best transport path for each transport stage.Finally,the case study verifies the energy-saving effect of the presented model.
Keywords:automated guided vehicle  energy consumption  multiple transport tasks  path planning  non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ)
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