本文關(guān)鍵詞：基于賦時(shí)有色Petri網(wǎng)離散制造過(guò)程控制系統(tǒng)建模與仿真研究　出處：《長(zhǎng)春工業(yè)大學(xué)》2015年碩士論文　論文類(lèi)型：學(xué)位論文

  更多相關(guān)文章： 離散制造 柔性制造系統(tǒng) 賦時(shí)有色Petri網(wǎng) Flexsim仿真 控制調(diào)度

【摘要】：隨著自動(dòng)化生產(chǎn)能力不斷的提高,以柔性制造為主要生產(chǎn)方式的企業(yè)日漸增多。柔性制造系統(tǒng)(FMS)是離散事件動(dòng)態(tài)系統(tǒng)(DEDS)的一個(gè)典型分類(lèi),其是由統(tǒng)一的信息控制管理系統(tǒng)、物料運(yùn)輸及貯存系統(tǒng)和一系列數(shù)字控制加工設(shè)備組成,能適應(yīng)加工對(duì)象變換的自動(dòng)化機(jī)械制造系統(tǒng)。而柔性制造系統(tǒng)的運(yùn)行,除了對(duì)預(yù)訂的加工工藝進(jìn)行工作外,在系統(tǒng)中還會(huì)出現(xiàn)各種突發(fā)性的情況。在資源有限的情況下,如何對(duì)資源進(jìn)行有效的配置,是提高整個(gè)系統(tǒng)生產(chǎn)效率的關(guān)鍵所在。為提升效率,對(duì)整個(gè)生產(chǎn)系統(tǒng)直接進(jìn)行改造是極其不現(xiàn)實(shí)的,所以要利用計(jì)算機(jī)仿真技術(shù)對(duì)整個(gè)系統(tǒng)進(jìn)行建模,根據(jù)生產(chǎn)實(shí)際改變模型相應(yīng)變量,從而得到相應(yīng)的結(jié)論。系統(tǒng)調(diào)度與控制的研究方法常見(jiàn)的有：?jiǎn)l(fā)式算法派遣規(guī)則,馬爾科夫鏈法,排隊(duì)網(wǎng)絡(luò)方法,數(shù)學(xué)方法,人工智能等。但這些方法多以穩(wěn)態(tài)、獨(dú)立性為假設(shè)前提,系統(tǒng)中不一定完全能夠滿(mǎn)足這些要求,所以不能保證得出結(jié)論的正確性。Petri網(wǎng)具有直觀、易懂和易用的優(yōu)點(diǎn)。不僅可以有直觀的圖形表示也有嚴(yán)謹(jǐn)?shù)臄?shù)學(xué)表達(dá)公式。既可以用于靜態(tài)結(jié)構(gòu)分析也可用于動(dòng)態(tài)行為分析,所以,以Petri網(wǎng)建模和Flexsim仿真相結(jié)合的方案對(duì)柔性制造系統(tǒng)進(jìn)行分析。首先運(yùn)用Petri網(wǎng)對(duì)整個(gè)的系統(tǒng)所涉及的對(duì)象進(jìn)行建模,該模型是對(duì)整個(gè)系統(tǒng)的靜態(tài)邏輯結(jié)構(gòu)進(jìn)行建模,著重表達(dá)各個(gè)對(duì)象之間的邏輯關(guān)系,基本Petri網(wǎng)可以對(duì)一些簡(jiǎn)單的邏輯關(guān)系進(jìn)行很好的表達(dá),但當(dāng)Petri網(wǎng)所描述的對(duì)象數(shù)量增加時(shí),Petri網(wǎng)中的節(jié)點(diǎn)數(shù)量會(huì)呈指數(shù)爆炸增長(zhǎng)。為了減少整個(gè)網(wǎng)系統(tǒng)的節(jié)點(diǎn)數(shù)量,本文引入了帶有顏色因素的Petri網(wǎng),即有色Petri網(wǎng)。通過(guò)對(duì)網(wǎng)中的流動(dòng)資源——托肯,賦予顏色,也就是相同或不同的特征值,以此來(lái)給Petri網(wǎng)進(jìn)行分層,來(lái)減小整個(gè)網(wǎng)系統(tǒng)的規(guī)模。基本Petri網(wǎng)所有的動(dòng)作都是瞬時(shí)完成的,實(shí)際系統(tǒng)的加工時(shí)間,物流消耗時(shí)間等在Petri網(wǎng)中的表達(dá)則需要引入時(shí)間因素。Petri網(wǎng)只對(duì)系統(tǒng)進(jìn)行了靜態(tài)邏輯結(jié)構(gòu)建模。Flexsim仿真軟件則可對(duì)生產(chǎn)系統(tǒng)進(jìn)行動(dòng)態(tài)仿真。Flexsim是一款3D可視化的仿真軟件,其不僅有面向?qū)ο蟮慕＜夹g(shù),還可以對(duì)建模系統(tǒng)的數(shù)據(jù)進(jìn)行分析。通過(guò)Petri網(wǎng)與Flexsim之間的轉(zhuǎn)換,根據(jù)Petri網(wǎng)設(shè)置相關(guān)參數(shù),運(yùn)行并得出數(shù)據(jù)。通過(guò)建立生產(chǎn)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(yù)警機(jī)制來(lái)反饋調(diào)節(jié)系統(tǒng)的發(fā)料速度。對(duì)于生產(chǎn)平衡率的問(wèn)題,提出了運(yùn)用啟發(fā)式算法的SPT規(guī)則,合理的解決了生產(chǎn)過(guò)程中資源流動(dòng)與利用的問(wèn)題,有效地改進(jìn)了生產(chǎn)設(shè)備的平衡率。對(duì)生產(chǎn)系統(tǒng)的控制調(diào)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(xué)位授予單位】：長(zhǎng)春工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：TP301.1;TP391.9

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