Grey Prediction and Fuzzy Control Method for Road Tunnel Ventilation

被引：0
|
作者：
Chen, Jiantao [1 ]
Li, Yunhua [1 ]
Tian, Xingjun [1 ]
机构：
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China
来源：
2011 6TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2011年
关键词：
Grey prediction; Fuzzy control; Tunel; Ventilation; SYSTEM;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：170 / 173
页数：4
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