摘要
自动导引运输车(automated guided vehicle,AGV)作为典型的物料运输设备,已逐渐广泛用于制造车间。AGV路径规划关系整个车间制造过程的效率和平稳性,然而,目前相关研究主要关注运输距离、时间、成本等目标,而能耗及其相关环境影响指标却很少涉及。为此,建立了以运输距离和能耗为优化目标的节能单AGV路径规划模型,进而利用粒子群优化算法实现了模型求解。最后,案例研究验证了模型节能效果和求解方法有效性,考虑能耗的路径规划是提升AGV使用能效的一种可行方法。
As typical material handling equipment,automated guided vehicles(AGVs)have been widely used in the manufacturing workshop.AGV path planning is closely related to the efficiency and smoothness of the whole manufacturing process on the shop floor.However,current related research mainly focuses on transport distance,time and cost,while energy consumption(EC)or EC-related environmental impact indicators are rarely involved.To fill the gap,an energy-efficient single AGV path planning model is established to optimize transport distance and EC simultaneously,and then the particle swarm optimization algorithm is utilized to solve the model.Finally,the case study verifies the energy-saving effect of the proposed model and the effectiveness of the solution method,and shows that the path planning considering EC is a feasible approach to enhance AGV energy-efficiency.
作者
张中伟
李俊兰
吴立辉
武照云
ZHANG Zhongwei;LI Junlan;WU Lihui;WU Zhaoyun(School of Mechanical and Electrical Engineering,Henan University of Technology,Zhengzhou 450001,CHN)
出处
《制造技术与机床》
北大核心
2021年第3期118-122,共5页
Manufacturing Technology & Machine Tool
基金
国家自然科学基金资助项目(U1704156)
河南省高等学校重点科研资助项目(18A460013,13B460952)
河南工业大学河南省省属高校基本科研业务费专项资金资助项目(2016QNJH09)
河南工业大学高层次人才科研基金资助项目(2017BS014)。
关键词
自动导引运输车
能量消耗
路径规划
多目标优化
粒子群优化算法
automated guided vehicle
energy consumption
path planning
multi-objective optimization
particle swarm optimization