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Throughput optimization of automated flats sorting machines

机译:自动平面排序机的吞吐量优化

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Large letters, journals, magazines, plastic wrapped mail items of A4 size are called flats. In order to be able to handle the large volumes of flats that have to be processed state-of-the-art post sorting centers are equipped with dedicated flats sorting machines. The throughput of a flats sorting machine is crucial when dealing with a continually increasing number of items to be sorted in a certain time. But, the throughput is limited by the mechanical constraints. We propose to optimize the efficiency of this sorting system by making several design changes and implementing advanced model-based control methods such as optimal control and model predictive control. In this paper we determine an event-based model of the flats sorting system. The considered control methods are compared for several scenarios. Results indicate that using the proposed approaches the throughput can be increased with up to 52.62%, the computation of the optimal velocity being performed in real-time.
机译:大写字母,期刊,杂志,塑料包裹邮件的A4尺寸称为单位。为了能够处理必须处理的大量公寓,最先进的后分拣中心配备专用的单位分拣机。在处理不断越来越多的物品时,公寓分拣机的吞吐量是至关重要的。但是,吞吐量受到机械约束的限制。我们建议通过制作多种设计变化和实现基于先进的模型的控制方法,优化该分类系统的效率,例如最佳控制和模型预测控制。在本文中,我们确定了一个基于事件的平面排序系统模型。将考虑的控制方法进行了若干场景。结果表明,使用提出的方法可以随高达52.62%的增加,计算最佳速度的计算实时进行。

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