基于智能RGV材料加工系统的动态模拟研究

楚雄师范学院学报 ›› 2020, Vol. 35 ›› Issue (3): 1-7.

• 数学 • 下一篇

基于智能RGV材料加工系统的动态模拟研究

杨新平^1*, 张明海², 陈杜平¹, 罗浩¹, 黄建飞¹

1.楚雄师范学院数学与统计学院,云南楚雄 675000;
2.楚雄州统计局,云南楚雄 675000

收稿日期:2019-03-29 出版日期:2020-05-20 发布日期:2020-12-28
作者简介:杨新平(1969-),男,硕士,楚雄师范学院数学与统计学院副教授,主要研究方向为贝叶斯统计。E-mail:yangxp@extc.edu.cn
基金资助:
云南省高校联合面上项目(NO:2017FH001-068);国家级大学生创新创业训练计划项目(NO:201711391009)

Dynamic Simulation of Material Processing System Based on Intelligent RGV

YANG Xinping¹, ZHANG Minghai², CHENG Duping³, LUO Hao⁴, HUANG Jianfei⁵

1. School of Mathematics and Statistics,Chuxiong Normal University,Chuxiong,Yunnan Province 675000;
2. Chuxiong State Statistical Bureau,Chuxiong,Yunnan Province 675000

Received:2019-03-29 Online:2020-05-20 Published:2020-12-28

摘要/Abstract

摘要： 以2018年全国大学生数学建模竞赛B题为背景,通过图形设计,再现了RGV材料加工系统的工作流程。建立三个数学模型,对RGV材料加工系统的上下料时间进行动态模拟,根据模拟值对模型的稳定性及合理性进行验证。三个模型的模拟值分别计算得到的参数估计值非常接近系统设定值,绝对误差分别0.02秒、0.04秒和0.02秒,说明模型能真实反映RGV的运行机制,能够为RGV作业参数的优化提供参考和借鉴。

关键词: 工作流程, 数学建模, 周期循环, 稳定性

Abstract: The paper’s background is B problems of undergraduate mathematical contest in modeling of China in 2018.Through graphic design,the workflow of RGV material processing system is reproduced.Three mathematical models are established to simulate dynamically the loading and unloading time of RGV material processing system.The stability and rationality of the model are verified according to the simulation values,The estimated values of parameters calculated from the simulation values of three groups are very close to the setting values of the system.The absolute errors are 0.02 second,0.04 second and 0.02 second respectively.It shows that the model can truly reflect the operation mechanism of RGV and provide reference for the optimization of RGV operation parameters.

Key words: workflow, mathematical modeling, periodic cycle, stability

中图分类号:

杨新平, 张明海, 陈杜平, 罗浩, 黄建飞. 基于智能RGV材料加工系统的动态模拟研究[J]. 楚雄师范学院学报, 2020, 35(3): 1-7.

YANG Xinping, ZHANG Minghai, CHENG Duping, LUO Hao, HUANG Jianfei. Dynamic Simulation of Material Processing System Based on Intelligent RGV[J]. Journal of Chuxiong Normal University, 2020, 35(3): 1-7.

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基于智能RGV材料加工系统的动态模拟研究

Dynamic Simulation of Material Processing System Based on Intelligent RGV

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