期刊文献+

面向可重构制造单元的仿真建模技术研究 被引量:14

Research on Simulation Modeling Technology for Reconfigurable Manufacturing Cell
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摘要 针对传统仿真建模方法无法适应可重构制造单元频繁调整的特点,提出了模块化控制模型与数据驱动相结合的仿真建模方法。首先采用层次化建模技术将生产系统复杂的管理和控制过程分解为车间层、单元层和设备层,各层次内部采用面向对象仿真建模技术将基本建模元素与仿真控制逻辑分离,构建过程控制模型;然后在对仿真建模各阶段需要的数据进行分析和分类的基础上,采用系统集成和人机交互的方式及时获取仿真数据,利用变化了的数据驱动各层次控制模型,快速构建生产系统重构后的仿真模型。最后,以某研究所的机加车间为例,验证了该方法的实用性和通用性。 On the problem of traditional simulation modeling approach which could not adapt the characteristic of rapid change for reconfigurable manufacturing cell, a new approach based on modular control model and data-driven simulation was proposed. The technology of hierarchy modeling was used to decompose the difficult manage and control of production system to workshop level, cell level and equipment level. In each level, considering modeling and simulation logic respectively, adopting the object-oriented methods, the rapid simulation modeling was accomplished based on modular control logic. On the base of data which is needed for each stage of simulation modeling to be analyzed and classified, system integrate and interactive approach were used to get the simulation data rapidly, and the data which was used to drive the simulation model and construct the simulation model of reconfigurable production system. The practicability and universality of the approach are proved by its application in a machine shop in a research institution.
出处 《系统仿真学报》 EI CAS CSCD 北大核心 2007年第17期3894-3898,共5页 Journal of System Simulation
基金 国家部委项目(51458010103BQ0102) 国家部委项目(K1301020706)
关键词 仿真建模 可重构制造单元 数据驱动 控制模型 simulation modeling reconfigurable manufacturing cell data-driven control model
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参考文献10

  • 1Koren Y, Heisel U, Jovane F, et al. Reconfigurable manufacturing systems [J]. Annals of the CIRP (S0007-8506), 1999, 48(2): 527-540.
  • 2Mehrabi M G. Ulsoy A G. Koren Y. Reconfigurable manufacturing systems and their enabling technology [J]. International Journal of Manufacturing Technology and Management (S1476-1300), 2000, 1(1): 113-130.
  • 3Kim K J, Gibson G E. Interactive simulation modeling for heavy construction operations [J]. Automation in Construction (S0926-5805), 2003, 12(1): 97-109.
  • 4Ryan J, Heavey C. Process modeling for simulation [J]. Computers In Industry (S0166-3615), 2006, 57(5): 437-450.
  • 5Zee, D J vail def. Modeling decision making and control in manufacturing simulation [J]. International Journal of Production Economics (S0925-5273), 2006, 100(1): 155-167.
  • 6Euisu P, Dawn M T, Pramod P K. A modeling and analysis methodology for modular logic controllers of machining systems using Petri net formalism [J]. IEEE Tran. on systems, man, and cybernetics-Part C: Applications reviews (S 1083-4400), 2001, 31(2): 168-188.
  • 7Guixiu Q, Mclean C, Riddick F. Simulation system modeling for mass customization manufacturing [C]// Proceeding of the 2002 Winter Simulation Conference. Los Alamitos, CA: IEEE Computer Society Press, 2002: 2031-2036.
  • 8谢楠,李爱平.可重组制造单元建模技术与分析方法的研究[C]//北京:2005年全国博士生学术论坛机械工程学科论文集.2005:777-784.
  • 9王国新,宁汝新,王爱民,唐承统,武志军.基于仿真的调度规则组合决策研究[J].北京理工大学学报,2006,26(7):598-601. 被引量:11
  • 10梁福军,宁汝新.可重构制造系统中基于相似性理论的虚拟制造单元生成方法[J].计算机集成制造系统,2004,10(11):1370-1376. 被引量:20

二级参考文献10

  • 1D.K. McCool(Agricultural Engineer, USDA-ARS, Washington State University, Pullman, WA)C.D. Pannkuk(Soil Scientist, USDA Forest Service, Rocky Mountain Research Station, Moscow, ID)K.E. Saxton(Hydrologist, USDA-ARS, Washington State University, Pullman, WA.WINTER RUNOFF AND EROSION ON NORTHWESTERN USA CROPLAND[J].International Journal of Sediment Research,2000,15(2):149-161. 被引量:5
  • 2Lacomme P,Moukrim A,Tchernev N.Simultaneous job input sequencing and vehicle dispatching in a single-vehicle automated guided vehicle system:a heuristic branch-and-bound approach coupled with a discrete events simulation model[J].International Journal of Production Research,2005,43(9):1911-1942.
  • 3Shnits B,Rubinovitz J,Sinreich D.Multicriteria dynamic scheduling methodology for controlling a flexible manufacturing system[J].International Journal of Production Research,2004,42(17):3457-3472.
  • 4Hafeea K,Zhang Y B,Malak N.Determining key capabilities of a firm using analytic hierarchy process[J].International Journal of Production Economics,2002,76:39-51.
  • 5Panwalkar S.A survey of scheduling rules[J].Operation Research,1977,25(1):45-61.
  • 6邓聚龙.灰预测与灰决策[M].武汉:华中科技大学出版社,2000..
  • 7赵骥,乐清洪,罗琦,朱名铨.虚拟生产线模型研究[J].西北工业大学学报,2000,18(4):518-521. 被引量:4
  • 8孙容磊,熊有伦,杜润生,丁汉.规则调度的迭代优化[J].计算机集成制造系统-CIMS,2002,8(7):546-550. 被引量:10
  • 9陈义保,姚建初,钟毅芳.基于灰色系统理论的多目标优化的一种策略[J].机械工程学报,2003,39(1):101-106. 被引量:25
  • 10梁福军,宁汝新.可重构制造系统理论研究[J].机械工程学报,2003,39(6):36-43. 被引量:67

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同被引文献75

引证文献14

二级引证文献45

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