基于面向?qū)ο驪etri網(wǎng)建模的FMS控制系統(tǒng)的設(shè)計與實現(xiàn)
發(fā)布時間:2018-11-03 16:51
【摘要】:在現(xiàn)代制造業(yè)中,柔性制造系統(tǒng)充分發(fā)揮了其能迅速響應(yīng)市場變化,適合中小批量、多品種產(chǎn)品生產(chǎn)的特點因此得到了廣泛的應(yīng)用。建模理論、生產(chǎn)調(diào)度算法是目前柔性制造系統(tǒng)領(lǐng)域的研究重點也是難點。除此之外柔性制造系統(tǒng)的具體實施、設(shè)備之間的通信,管理系統(tǒng)的設(shè)計也是研究的熱點。本文結(jié)合“智能柔性制造單元調(diào)度仿真系統(tǒng)的開發(fā)及裝備的研制”項目,對上述提到問題進(jìn)行了研究,給出了解決方案,并成功的應(yīng)用于FMS控制管理軟件的開發(fā)中。 本文的研究重點是FMS建模、生產(chǎn)調(diào)度算法和控制軟件的實現(xiàn),主要的工作如下: 一是FMS建模方面,利用面向?qū)ο驪etri網(wǎng)對柔性制造系統(tǒng)進(jìn)行建模,給出了機床、上下料機械手臂、立體倉庫、自動運輸小車和輸入輸出緩沖區(qū)的面向?qū)ο笞泳W(wǎng),并討論了由各個對象子網(wǎng)合成整個系統(tǒng)的方法。 二是FMS調(diào)度算法方面,提出了一種帶有災(zāi)變因子的病毒遺傳算法應(yīng)用于求解靜態(tài)調(diào)度中的Job Shop和Flow Shop問題,并與遺傳算法和病毒遺傳算法進(jìn)行了對比實驗,證明了算法的有效性,另外還給出了基于排隊隊列模型的動態(tài)調(diào)度策略,列出了幾種常見的調(diào)度規(guī)則。 三是FMS控制軟件方面,詳細(xì)介紹了爪形工件自動化加工檢測柔性示范線的運行流程,分析了FMS控制軟件與機床和FANUC機器人的通訊技術(shù),,設(shè)計了系統(tǒng)的運動控制指令,在示范線的基礎(chǔ)上開發(fā)了較為完整的FMS加工控制管理信息系統(tǒng),建立了數(shù)據(jù)庫,可實現(xiàn)對工件整個加工流程信息的管理,并通過測試驗證了系統(tǒng)的性能良好。
[Abstract]:In modern manufacturing, flexible manufacturing system (FMS) has been widely used because of its ability to respond to market changes quickly and be suitable for medium and small batch production. Modeling theory, production scheduling algorithm is the focus of research in the field of flexible manufacturing systems is also a difficult point. In addition, the implementation of flexible manufacturing system, the communication between equipment and the design of management system are also the focus of research. In this paper, the problems mentioned above are studied, and the solutions are given, which are successfully applied in the development of FMS control and management software, combined with the project of "the development of intelligent flexible manufacturing cell scheduling simulation system and equipment development". This paper focuses on FMS modeling, production scheduling algorithm and control software implementation. The main work is as follows: first, FMS modeling, using object-oriented Petri net to model flexible manufacturing system, gives the machine tool. The object oriented subnets of loading and unloading manipulator, stereo warehouse, automatic transport vehicle and input and output buffer are discussed. The method of synthesizing the whole system from each object subnet is discussed. Secondly, in the aspect of FMS scheduling algorithm, a virus genetic algorithm with catastrophe factor is proposed to solve Job Shop and Flow Shop problems in static scheduling, and compared with genetic algorithm and virus genetic algorithm. The validity of the algorithm is proved. In addition, a dynamic scheduling strategy based on queuing queue model is presented, and several common scheduling rules are listed. Thirdly, the FMS control software is introduced in detail. The running flow of flexible demonstration line for automatic machining and testing of claw workpiece is introduced in detail. The communication technology between FMS control software and machine tool and FANUC robot is analyzed, and the motion control instruction of the system is designed. On the basis of demonstration line, a relatively complete FMS machining control management information system is developed, and a database is established, which can manage the whole process information of the workpiece. The system has been tested and verified that the system has good performance.
【學(xué)位授予單位】:中國科學(xué)院研究生院(沈陽計算技術(shù)研究所)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2012
【分類號】:TH165;TP273
本文編號:2308369
[Abstract]:In modern manufacturing, flexible manufacturing system (FMS) has been widely used because of its ability to respond to market changes quickly and be suitable for medium and small batch production. Modeling theory, production scheduling algorithm is the focus of research in the field of flexible manufacturing systems is also a difficult point. In addition, the implementation of flexible manufacturing system, the communication between equipment and the design of management system are also the focus of research. In this paper, the problems mentioned above are studied, and the solutions are given, which are successfully applied in the development of FMS control and management software, combined with the project of "the development of intelligent flexible manufacturing cell scheduling simulation system and equipment development". This paper focuses on FMS modeling, production scheduling algorithm and control software implementation. The main work is as follows: first, FMS modeling, using object-oriented Petri net to model flexible manufacturing system, gives the machine tool. The object oriented subnets of loading and unloading manipulator, stereo warehouse, automatic transport vehicle and input and output buffer are discussed. The method of synthesizing the whole system from each object subnet is discussed. Secondly, in the aspect of FMS scheduling algorithm, a virus genetic algorithm with catastrophe factor is proposed to solve Job Shop and Flow Shop problems in static scheduling, and compared with genetic algorithm and virus genetic algorithm. The validity of the algorithm is proved. In addition, a dynamic scheduling strategy based on queuing queue model is presented, and several common scheduling rules are listed. Thirdly, the FMS control software is introduced in detail. The running flow of flexible demonstration line for automatic machining and testing of claw workpiece is introduced in detail. The communication technology between FMS control software and machine tool and FANUC robot is analyzed, and the motion control instruction of the system is designed. On the basis of demonstration line, a relatively complete FMS machining control management information system is developed, and a database is established, which can manage the whole process information of the workpiece. The system has been tested and verified that the system has good performance.
【學(xué)位授予單位】:中國科學(xué)院研究生院(沈陽計算技術(shù)研究所)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2012
【分類號】:TH165;TP273
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