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Grey prediction and fuzzy control method for road tunnel ventilation

机译:公路隧道通风的灰色预测与模糊控制方法

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To control road tunnel ventilation is very difficult because of its high no-linearity and random property. In this paper the grey prediction and fuzzy control method is developed for road tunnel ventilation control. The method includes two prominent blocks, i.e., grey predictor and fuzzy controller. The grey predictor is realized based on discrete GM(1,1) and can rollingly predict the system outputs on line. The fuzzy controller structure is the same as the traditional fuzzy control system for road tunnel ventilation but the new fuzzy inference rules are established. Finally the method is simulated using practical data and the results shows that the effect of this method is better and it also cost less energy compared to the traditional fuzzy control method.
机译:由于其高的非线性和随机性,控制道路隧道的通风非常困难。本文提出了一种灰色预测与模糊控制方法,用于公路隧道的通风控制。该方法包括两个突出的块,即,灰色预测器和模糊控制器。灰色预测器是基于离散GM(1,1)实现的,可以在线滚动预测系统输出。模糊控制器的结构与传统的公路隧道通风模糊控制系统相同,但建立了新的模糊推理规则。最后利用实际数据对方法进行了仿真,结果表明,与传统的模糊控制方法相比,该方法效果更好,能耗更低。

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