兩類品種工件混流的多站點(diǎn)CSPS系統(tǒng)優(yōu)化控制
發(fā)布時(shí)間:2019-08-03 20:25
【摘要】:研究一種兩類品種工件混流的多站點(diǎn)傳送帶給料加工站系統(tǒng)的優(yōu)化控制問題.系統(tǒng)中的站點(diǎn)如何協(xié)同工作完成工件加工任務(wù),是提高系統(tǒng)生產(chǎn)率的重要課題.將前視距離作為各站點(diǎn)的決策變量,通過站點(diǎn)間的局部信息交互,提出一種品種均衡工作模式,并運(yùn)用一種模型無關(guān)的串行反饋式多agent強(qiáng)化學(xué)習(xí)算法求解系統(tǒng)的最優(yōu)策略.實(shí)驗(yàn)結(jié)果驗(yàn)證了該工作模式的合理性和算法的有效性,并分析了部分參數(shù)變化對(duì)系統(tǒng)性能的影響.
[Abstract]:In this paper, the optimal control problem of a multi-station transmission feed processing station system with mixed flow of two kinds of workpiece is studied. How to work together to complete the workpiece processing task is an important task to improve the productivity of the system. Taking the forward looking distance as the decision variable of each site, a variety equilibrium working mode is proposed through the local information interaction between stations, and a model independent serial feedback multi agent reinforcement learning algorithm is used to solve the optimal strategy of the system. The experimental results verify the rationality of the working mode and the effectiveness of the algorithm, and analyze the influence of some parameter changes on the performance of the system.
【作者單位】: 合肥工業(yè)大學(xué)電氣與自動(dòng)化工程學(xué)院;
【基金】:國(guó)家自然科學(xué)基金面上項(xiàng)目(61174186,61573126,71231004) 教育部高等學(xué)校博士學(xué)科點(diǎn)專項(xiàng)科研基金項(xiàng)目(20130111110007);教育部新世紀(jì)優(yōu)秀人才計(jì)劃項(xiàng)目(NCET-11-0626) 合肥工業(yè)大學(xué)應(yīng)用科技成果培育計(jì)劃項(xiàng)目(JZ2016YYPY0052)
【分類號(hào)】:TP278
本文編號(hào):2522779
[Abstract]:In this paper, the optimal control problem of a multi-station transmission feed processing station system with mixed flow of two kinds of workpiece is studied. How to work together to complete the workpiece processing task is an important task to improve the productivity of the system. Taking the forward looking distance as the decision variable of each site, a variety equilibrium working mode is proposed through the local information interaction between stations, and a model independent serial feedback multi agent reinforcement learning algorithm is used to solve the optimal strategy of the system. The experimental results verify the rationality of the working mode and the effectiveness of the algorithm, and analyze the influence of some parameter changes on the performance of the system.
【作者單位】: 合肥工業(yè)大學(xué)電氣與自動(dòng)化工程學(xué)院;
【基金】:國(guó)家自然科學(xué)基金面上項(xiàng)目(61174186,61573126,71231004) 教育部高等學(xué)校博士學(xué)科點(diǎn)專項(xiàng)科研基金項(xiàng)目(20130111110007);教育部新世紀(jì)優(yōu)秀人才計(jì)劃項(xiàng)目(NCET-11-0626) 合肥工業(yè)大學(xué)應(yīng)用科技成果培育計(jì)劃項(xiàng)目(JZ2016YYPY0052)
【分類號(hào)】:TP278
【相似文獻(xiàn)】
相關(guān)期刊論文 前1條
1 唐昊;裴榮;周雷;譚琦;;基于狀態(tài)聚類的多站點(diǎn)CSPS系統(tǒng)的協(xié)同控制方法[J];自動(dòng)化學(xué)報(bào);2014年05期
相關(guān)碩士學(xué)位論文 前4條
1 盛文學(xué);基于工件位置信息的多站點(diǎn)CSPS系統(tǒng)的協(xié)同控制[D];合肥工業(yè)大學(xué);2015年
2 李博川;兩品種工件混流的多站點(diǎn)CSPS系統(tǒng)最優(yōu)控制研究[D];合肥工業(yè)大學(xué);2016年
3 裴榮;基于狀態(tài)聚類和需求驅(qū)動(dòng)的多站點(diǎn)CSPS系統(tǒng)的協(xié)同控制[D];合肥工業(yè)大學(xué);2013年
4 王超;多工序CSPS系統(tǒng)基于柔性站點(diǎn)的分層優(yōu)化控制研究[D];合肥工業(yè)大學(xué);2013年
,本文編號(hào):2522779
本文鏈接:http://sikaile.net/kejilunwen/zidonghuakongzhilunwen/2522779.html
最近更新
教材專著