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Design of improved optimal and suboptimal deadlock prevention for flexible manufacturing systems based on place invariant and reachability graph analysis methods

机译:基于位置不变性和可达性图分析方法的柔性制造系统改进的最优和次优死锁预防设计

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Flexible manufacturing systems exhibit a high degree of resource sharing. Since the parts advancing through the system compete for a finite number of resources, a deadlock may occur. Accordingly, many pioneers make efforts in the issue. However, how to obtain maximally permissive supervisors in deadlock flexible manufacturing system is an extremely difficult and time-consuming problem. In existing literature, place invariant) and graph analysis method are merged called maximal number of forbidding First Bad Marking (FBM) problem to obtained optimal controllers with a small number of control places. However, this prevention just can be used in some special nets. For general cases, deadlocks could still exist. Therefore, this paper tries to propose one improved iterative deadlock prevention policy to solve above disadvantage. Experimental results show that the proposed improved policy can be used in all kinds of nets. In other words, it does improve the drawback of conventional maximal number of forbidding First Bad Marking (FBM) problem technology.
机译:柔性制造系统展现出高度的资源共享。由于通过系统前进的部件争夺有限数量的资源,因此可能会发生死锁。因此,许多先驱者在这一问题上作出了努力。但是,如何在僵化的柔性制造系统中获得最大的允许监督者是一个极其困难且耗时的问题。在现有文献中,将位置不变和图分析方法合并在一起,称为最大数量的禁止首次不良标记(FBM)问题,以获得具有少量控制位置的最优控制器。但是,这种预防措施只能在某些特殊的网中使用。对于一般情况,死锁仍然可能存在。因此,本文试图提出一种改进的迭代死锁预防策略来解决上述缺点。实验结果表明,所提出的改进策略可以用于各种网络。换句话说,它确实改善了传统的最大数量的禁止第一不良标记(FBM)问题技术的缺点。

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