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Event-based feedback control for deadlock avoidance in flexible production systems

机译:基于事件的反馈控制,可避免柔性生产系统中的死锁

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Modern production facilities (i.e. flexible manufacturing systems) exhibit a high degree of resource sharing, a situation in which deadlocks (circular waits) can arise. Using digraph theoretic concepts we derive necessary and sufficient conditions for a deadlock occurrence and rigorously characterize highly undesirable situations (second level deadlocks), which inevitably evolve to circular waits in the next future. We assume that the system dynamics is described by a discrete event dynamical model, whose state provides the information on the current interactions job-resources. This theoretic material allows us to introduce some control laws (named restriction policies) which use the state knowledge to avoid deadlocks by inhibiting or by enabling some transitions. The restriction policies involve small on-line computation costs, so they are suitable for real-time implementation. For a meaningful class of systems one of these policies is the least restrictive deadlock-free policy one can find, namely it inhibits resource allocation only if leads directly to a deadlock. Finally, the paper discusses the computational complexity of all the proposed restriction policies and shows some examples to compare their performances.
机译:现代生产设备(即灵活的制造系统)显示出高度的资源共享,这种情况下可能出现死锁(循环等待)。使用有向图的理论概念,我们得出了发生死锁的必要条件和充分条件,并严格刻画了高度不良的情况(二级死锁),这种情况不可避免地在下一个未来演变成循环等待。我们假设系统动力学是由离散事件动力学模型描述的,该模型的状态提供了有关当前交互作业资源的信息。该理论材料使我们可以引入一些控制律(称为限制策略),这些控制律使用状态知识来通过禁止或启用某些转换来避免死锁。限制策略的在线计算成本较低,因此适合实时实施。对于有意义的系统类别,这些策略之一是人们可以找到的限制性最低的无死锁策略,即仅在直接导致死锁时才禁止资源分配。最后,本文讨论了所有提出的限制策略的计算复杂性,并提供了一些示例来比较它们的性能。

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