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首页> 外文期刊>International Journal of Production Research >Optimal control of an unreliable machine using fuzzy-logic control: from design to implementation
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Optimal control of an unreliable machine using fuzzy-logic control: from design to implementation

机译：使用模糊逻辑控制的不可靠机器的最优控制：从设计到实现

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摘要

In this paper, the development, implementation and validation of fuzzy logic to control an unreliable machine in manufacturing systems are presented. The fuzzy-logic controller developed in this context is based on the optimal control policy using hedging-point methodology. The fuzzy-logic controller has two-subsets of fuzzy-logic controls. The first provides a decision whether the system should produce part at make-to-stock or at make-to-order mode. The decision provided by the first fuzzy-logic control is then used by the second fuzzy-logic control to specify at what production rate the part should be produced. Simulation and implementation have been performed by controlling an unreliable machine using the developed fuzzy-logic controller. Then, the simulation results are compared with the simulation results given by the optimal control policy (hedging-point methodology). The results show that the performance of the developed fuzzy logic outperforms and is more precise than the hedging-point method under certain conditions.
机译：在本文中，提出了控制制造系统中不可靠机器的模糊逻辑的开发，实现和验证。在这种情况下开发的模糊逻辑控制器基于使用对冲点方法的最优控制策略。模糊逻辑控制器具有模糊逻辑控制的两个子集。第一个决定系统是应该按库存生产还是按订单生产零件。然后，由第一模糊逻辑控制提供的决策由第二模糊逻辑控制使用，以指定应以何种生产率生产零件。通过使用开发的模糊逻辑控制器控制不可靠的机器来执行仿真和实现。然后，将仿真结果与最佳控制策略（对冲点方法）给出的仿真结果进行比较。结果表明，在一定条件下，所开发的模糊逻辑的性能优于对冲点方法。

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