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MES管控下考虑AGV能耗的路径优化设计

李拔愚 许中华 徐曦

机电工程技术2024,Vol.53Issue(4):143-146,4.
机电工程技术2024,Vol.53Issue(4):143-146,4.DOI:10.3969/j.issn.1009-9492.2024.04.032

MES管控下考虑AGV能耗的路径优化设计

Path Optimization Design Considering AGV Energy Consumption Under MES Control

李拔愚 1许中华 2徐曦1

作者信息

  • 1. 湖南工业大学计算机学院,湖南株洲 412000||智能信息感知及处理技术湖南省重点实验室,湖南株洲 412000
  • 2. 湖南工业大学计算机学院,湖南株洲 412000
  • 折叠

摘要

Abstract

With the workshop production gradually moving towards automation and intelligence,manufacturing execution system(MES)and automatic guided vehicle(AGV)are applied more and more widely.Based on the project example,design the interconnection between the MES central control system and AGV scheduling system in the workshop,as well as the handling process of AGV.Considering that most AGVs currently use battery energy storage,energy efficiency has become an optimization goal for practical problems.Combining the constraints of MES task time windows,a mathematical model is established to solve the multi-objective optimization problem of AGV path planning,and an improved genetic algorithm is proposed,which obtains the optimal solution through random initial multiple path encoding,POX crossover,reverse order mutation,and tournament selection.The simulation results show that the optimal path planning is better than the traditional algorithm.

关键词

制造执行系统/自动引导小车/能耗/多目标优化/改进遗传算法

Key words

manufacturing execution system(MES)/automatic guided vehicle(AGV)/energy consumption/multi objective optimization/improved genetic algorithm

分类

信息技术与安全科学

引用本文复制引用

李拔愚,许中华,徐曦..MES管控下考虑AGV能耗的路径优化设计[J].机电工程技术,2024,53(4):143-146,4.

基金项目

2022年度湖南省教育厅科学研究项目(22C0318) (22C0318)

机电工程技术

1009-9492

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