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Research on Production Process Control Method Combined Stochastic Process Algebra and Stochastic Petri Nets

Research on Production Process Control Method Combined Stochastic Process Algebra and Stochastic Petri Nets

作     者:LIU Chang SHI Haibo (Shenyang Inst.of Automation,Chinese Academy of Sciences,Shenyang 110016,China 

作者机构:Shenyang Inst.of AutomationChinese Academy of SciencesShenyang 110016China 

出 版 物:《武汉理工大学学报》 (Journal of Wuhan University of Technology)

年 卷 期:2006年第28卷第S2期

页      面:428-434页

学科分类:0711[理学-系统科学] 07[理学] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

基  金:国家自然科学基金(1041007-1-04) 

主  题:production process control stochastic process algebra stochastic Petri net hierarchical control 

摘      要:A hierarchical closed-loop production control scheme integrating scheduling,control and performance evaluation is ***,the production process is divided into two main hierarchies:the lower level is the physical operation level and the upper one is the management ***,the schedule template for the management level and the activity template for the physical operation level are constructed separately,the tasks in the schedule have the ability to make partial decisions,and the per- formance parameters are introduced into activity ***,the two levels use different model representations:stochastic process algebra for the management level whose output is the control commands and stochastic Petri net for the physical operation lev- el which is the execution of the control ***,the integration of the two levels is the control commands mapping into the lower physical operations and the responses feeding back to the upper decision-making that are defined by some transition functions. Under the proposed scheme,the production process control of a flexible assembly is *** is concluded that the process con- trol model has partial ability to make decision on-line for uncertain and dynamic environments and facilitates reasoning about the be- haviors of the process control,and performance evaluation can be done online for real-time scheduling to ensure the global optimiza- tion.

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