本文關鍵詞：基于賦時有色Petri網離散制造過程控制系統(tǒng)建模與仿真研究　出處：《長春工業(yè)大學》2015年碩士論文　論文類型：學位論文

  更多相關文章： 離散制造 柔性制造系統(tǒng) 賦時有色Petri網 Flexsim仿真 控制調度

【摘要】：隨著自動化生產能力不斷的提高,以柔性制造為主要生產方式的企業(yè)日漸增多。柔性制造系統(tǒng)(FMS)是離散事件動態(tài)系統(tǒng)(DEDS)的一個典型分類,其是由統(tǒng)一的信息控制管理系統(tǒng)、物料運輸及貯存系統(tǒng)和一系列數字控制加工設備組成,能適應加工對象變換的自動化機械制造系統(tǒng)。而柔性制造系統(tǒng)的運行,除了對預訂的加工工藝進行工作外,在系統(tǒng)中還會出現各種突發(fā)性的情況。在資源有限的情況下,如何對資源進行有效的配置,是提高整個系統(tǒng)生產效率的關鍵所在。為提升效率,對整個生產系統(tǒng)直接進行改造是極其不現實的,所以要利用計算機仿真技術對整個系統(tǒng)進行建模,根據生產實際改變模型相應變量,從而得到相應的結論。系統(tǒng)調度與控制的研究方法常見的有：啟發(fā)式算法派遣規(guī)則,馬爾科夫鏈法,排隊網絡方法,數學方法,人工智能等。但這些方法多以穩(wěn)態(tài)、獨立性為假設前提,系統(tǒng)中不一定完全能夠滿足這些要求,所以不能保證得出結論的正確性。Petri網具有直觀、易懂和易用的優(yōu)點。不僅可以有直觀的圖形表示也有嚴謹的數學表達公式。既可以用于靜態(tài)結構分析也可用于動態(tài)行為分析,所以,以Petri網建模和Flexsim仿真相結合的方案對柔性制造系統(tǒng)進行分析。首先運用Petri網對整個的系統(tǒng)所涉及的對象進行建模,該模型是對整個系統(tǒng)的靜態(tài)邏輯結構進行建模,著重表達各個對象之間的邏輯關系,基本Petri網可以對一些簡單的邏輯關系進行很好的表達,但當Petri網所描述的對象數量增加時,Petri網中的節(jié)點數量會呈指數爆炸增長。為了減少整個網系統(tǒng)的節(jié)點數量,本文引入了帶有顏色因素的Petri網,即有色Petri網。通過對網中的流動資源——托肯,賦予顏色,也就是相同或不同的特征值,以此來給Petri網進行分層,來減小整個網系統(tǒng)的規(guī)模�；綪etri網所有的動作都是瞬時完成的,實際系統(tǒng)的加工時間,物流消耗時間等在Petri網中的表達則需要引入時間因素。Petri網只對系統(tǒng)進行了靜態(tài)邏輯結構建模。Flexsim仿真軟件則可對生產系統(tǒng)進行動態(tài)仿真。Flexsim是一款3D可視化的仿真軟件,其不僅有面向對象的建模技術,還可以對建模系統(tǒng)的數據進行分析。通過Petri網與Flexsim之間的轉換,根據Petri網設置相關參數,運行并得出數據。通過建立生產系統(tǒng)的仿真模型,分析了模型中存在的沖突、死鎖等情況,本文提出了容量預警機制來反饋調節(jié)系統(tǒng)的發(fā)料速度。對于生產平衡率的問題,提出了運用啟發(fā)式算法的SPT規(guī)則,合理的解決了生產過程中資源流動與利用的問題,有效地改進了生產設備的平衡率。對生產系統(tǒng)的控制調度、優(yōu)化改造是一種很好的探索,具有重大意義。
[Abstract]:With the increasing of automatic production capacity, more and more enterprises take flexible manufacturing as the main mode of production. Flexible manufacturing system (FMS) is a typical classification of discrete event dynamic system (DDS). It is composed of a unified information control management system, material transportation and storage system and a series of digital control processing equipment, which can adapt to the automatic mechanical manufacturing system. In addition to the work of the processing process, there will be a variety of unexpected situations in the system. In the case of limited resources, how to effectively configure the resources. It is the key to improve the production efficiency of the whole system. In order to improve the efficiency, it is extremely unrealistic to directly transform the whole production system, so we should use the computer simulation technology to model the whole system. According to the production practice, the model variables are changed, and the corresponding conclusions are obtained. The common research methods of system scheduling and control are: heuristic algorithm dispatch rules, Markov chain method, queuing network method. Mathematical methods, artificial intelligence, etc., but most of these methods are based on the assumption of steady-state and independence, the system may not be able to fully meet these requirements. Therefore, the correctness of the conclusions can not be guaranteed. Petri nets are intuitionistic. Easy to understand and easy to use. Not only can have intuitive graphical representation but also have rigorous mathematical expression formula. Can be used in both static structure analysis and dynamic behavior analysis, so. The FMS is analyzed by combining Petri net modeling and Flexsim simulation. Firstly, the whole system object is modeled by Petri net. This model is to model the static logic structure of the whole system, focusing on expressing the logical relationship between the objects. The basic Petri net can express some simple logic relations well. However, when the number of objects described by Petri nets increases, the number of nodes in Petri nets will increase exponentially in order to reduce the number of nodes in the whole network system. In this paper, we introduce Petri nets with color factors, that is, colored Petri nets. By giving color to the flowing resource -Tocken in the network, that is, the same or different eigenvalues, is introduced. In order to reduce the scale of the whole network system, all the actions of the basic Petri net are instantaneous completed, and the processing time of the actual system is achieved. The expression of logistics consumption time in Petri net needs to introduce the time factor. Petri net only carries on the static logic structure modeling to the system. Flexsim simulation software can carry on to the production system. Dynamic simulation. Flexsim is a 3D visual simulation software. It not only has the object-oriented modeling technology, but also can analyze the data of the modeling system. Through the conversion between Petri net and Flexsim, the relevant parameters are set according to the Petri net. By establishing the simulation model of the production system, the conflicts and deadlocks in the model are analyzed. In this paper, a capacity early warning mechanism is proposed to feedback and adjust the speed of the system. For the problem of production balance rate, the SPT rule using heuristic algorithm is proposed. The problem of resource flow and utilization in production process is solved reasonably, and the balance rate of production equipment is improved effectively. It is a good exploration and great significance for the control and scheduling of production system to optimize the transformation.
【學位授予單位】：長春工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TP301.1;TP391.9

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