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基于面向对象Petri网建模的FMS控制系统的设计与实现

发布时间:2018-11-03 16:51
【摘要】:在现代制造业中,柔性制造系统充分发挥了其能迅速响应市场变化,适合中小批量、多品种产品生产的特点因此得到了广泛的应用。建模理论、生产调度算法是目前柔性制造系统领域的研究重点也是难点。除此之外柔性制造系统的具体实施、设备之间的通信,管理系统的设计也是研究的热点。本文结合“智能柔性制造单元调度仿真系统的开发及装备的研制”项目,对上述提到问题进行了研究,给出了解决方案,并成功的应用于FMS控制管理软件的开发中。 本文的研究重点是FMS建模、生产调度算法和控制软件的实现,主要的工作如下: 一是FMS建模方面,利用面向对象Petri网对柔性制造系统进行建模,给出了机床、上下料机械手臂、立体仓库、自动运输小车和输入输出缓冲区的面向对象子网,并讨论了由各个对象子网合成整个系统的方法。 二是FMS调度算法方面,提出了一种带有灾变因子的病毒遗传算法应用于求解静态调度中的Job Shop和Flow Shop问题,并与遗传算法和病毒遗传算法进行了对比实验,证明了算法的有效性,另外还给出了基于排队队列模型的动态调度策略,列出了几种常见的调度规则。 三是FMS控制软件方面,详细介绍了爪形工件自动化加工检测柔性示范线的运行流程,分析了FMS控制软件与机床和FANUC机器人的通讯技术,,设计了系统的运动控制指令,在示范线的基础上开发了较为完整的FMS加工控制管理信息系统,建立了数据库,可实现对工件整个加工流程信息的管理,并通过测试验证了系统的性能良好。
[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.
【学位授予单位】:中国科学院研究生院(沈阳计算技术研究所)
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:TH165;TP273

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