长纵深式立体仓库拣选路径优化及堆垛机控制系统的设计
[Abstract]:Warehousing management is a multi-disciplinary integrated subject, such as optimal scheduling, automatic control, logistics management and so on. As an important node of warehouse management, automated warehouse not only stores goods, but also connects suppliers and requestors. Therefore, the optimization and control of the automated warehouse not only reduces the time of goods entering and leaving the warehouse, saves manpower and material resources, but also greatly reduces the working cycle time of the goods from the whole storage management. The optimization of the three-dimensional warehouse should start with the selection path of the stacker and the control system of the stacker. Considering all kinds of problems which may affect the operation of stereoscopic warehouse in engineering practice, this paper introduces a kind of storage mode which can deal with some unexpected situations more flexibly, that is, long-depth warehouse. The warehouse is characterized by a long shelf depth and two stacker cranes in one roadway. First of all, according to the characteristics of the long-depth warehouse, the overall layout of the warehouse is determined. That is to say, to determine the position of the two stacker platforms and the "U" path operation mode of the two stacker cranes in the operation of the cargo entry and exit depot. In addition, in order to avoid collision between two stacker cranes in a roadway, the multi-yard routing problem is transformed into a depot routing problem by using the method of region division. Secondly, this paper optimizes and analyzes the terminal point of the stacker selection path-the warehouse's cargo point, which is the end point of the stacker's selection path. It is concluded that the warehouse space optimization problem is a multi-objective optimization problem, and the particle swarm optimization algorithm is used to solve the problem, and the reasonable distribution of the warehouse cargo space is realized. In order to determine the starting point of the pick-up path of the stacker, the residence strategy of the stacker is discussed. Through analysis and calculation, the resident position of the stacker is determined by taking the platform of stacker in and out of the stacker as the stacker. Finally, the mathematical model of the selection path of stacker crane is established, and the genetic algorithm is used to optimize the selection path of the stacker crane. Finally, the optimization model is simulated by MATLAB software, and the conclusion is drawn that the selection path of the stacking crane is optimized effectively. Finally, the control system of stacker is designed. Through the design of the control system, the stacker can move along the optimal path. In order to realize the reliability of the control and take into account the principle of economy, the control system based on Siemens S7x200 is selected. The PLC transmits the pulse through its extended EM253PWM/PTO pulse output module. The pulse is transmitted to the servo motor through the servo drive, and the angle of the motor is controlled, thus realizing the movement of the stacker in space. In addition, in order to prevent the collision of stacker, the limit switch is set in the control system, and the barcode system is set up in order to read the cargo information more effectively and plan the cargo position. In order to accurately control the position of the stacker, the horizontal and vertical addressing system is set up, and the monitoring system can monitor the movement of the system in real time, and can also detect the faults.
【学位授予单位】:兰州理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TH692.3;TH246
【参考文献】
相关期刊论文 前10条
1 卫三军;李蓓智;吕志军;项前;;基于遗传退火算法的AS/RS货位分配问题求解[J];制造业自动化;2011年06期
2 林猛;;浅谈现代物流企业及其发展方向[J];物流工程与管理;2011年01期
3 贺丽娜;楼佩煌;钱晓明;刘冉;;基于时间窗的自动导引车无碰撞路径规划[J];计算机集成制造系统;2010年12期
4 陈曦;王希诚;;一种改进的多种群遗传算法[J];辽宁科技大学学报;2009年02期
5 陈娟;钟永彦;;堆垛机控制系统关键技术的研究与实现[J];梧州学院学报;2008年06期
6 陈继文;李彦凤;范文利;于复生;;小型立体仓库仿真系统设计[J];山东建筑大学学报;2008年04期
7 邹晖华;胡吉全;杨艳芳;;自动化立体仓库货位分配策略优化研究[J];湖北工业大学学报;2008年03期
8 陈月婷;何芳;;基于遗传算法的自动化立体仓库的货位优化分配[J];物流科技;2008年01期
9 黄学飞;梁艺忠;曹玉华;;PLC和触摸屏在自动化立体仓库系统地面控制台上应用[J];工业控制计算机;2007年06期
10 张宇,李鸣,汤志彪,张红星;基于S7-300PLC的电加热器模糊控制编程实现[J];南昌大学学报(工科版);2005年03期
相关博士学位论文 前1条
1 杨朋;多载具自动化存取系统货位分配与作业调度研究[D];清华大学;2011年
相关硕士学位论文 前4条
1 彭昌煦;基于Logix的立体仓库仿真与一体化管控系统设计[D];河北大学;2015年
2 范超赞;改进粒子群算法研究[D];北方工业大学;2013年
3 丛奎荣;自动化仓储系统调度与优化研究[D];山东大学;2010年
4 付莹;基于现代物流的自动化立体仓库控制系统的优化设计[D];北京邮电大学;2006年
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