Combined grey prediction fuzzy control law with application to road tunnel ventilation system
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| Format: | Artículo científico |
| Language: | en |
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Universidad Nacional Autónoma de México
2015
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| _version_ | 1876490007757193216 |
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| author | Li Yunhua |
| author_facet | Li Yunhua |
| contents | Combined grey prediction fuzzy control law with application to road tunnel ventilation system Li Yunhua Lina Ling Chen Jiantao Ingeniería tunnel fuzzy control Grey prediction compound control ventilation system Road tunnel ventilation system is of high non-linearity and uncertainty, and its exact mathematical model is acquired with very difficulty. In order to effectively control road tunnel ventilation system, a combined grey prediction fuzzy control (CGPFC) law is proposed in the paper. The output of this kind of combined controller is formed by combining outputs of the grey prediction fuzzy controller (GPFC) and the traditional fuzzy control law. The grey predictor is realized by discrete GM(1,1) and it is used to predict the system outputs on line in rolling mode. The simulation and experiment for this new fuzzy control law to be applied in road tunnel ventilation system are conducted. The simulation and the practical application show that the effect of this method is better and it also cost less energy compared to the traditional fuzzy control method. 2015 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47439895018 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.2 Vol.13 |
| format | Artículo científico |
| id | redalyc_47439895018 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Combined grey prediction fuzzy control law with application to road tunnel ventilation system Li Yunhua Ingeniería tunnel fuzzy control Grey prediction compound control ventilation system Combined grey prediction fuzzy control law with application to road tunnel ventilation system Li Yunhua Lina Ling Chen Jiantao Ingeniería tunnel fuzzy control Grey prediction compound control ventilation system Road tunnel ventilation system is of high non-linearity and uncertainty, and its exact mathematical model is acquired with very difficulty. In order to effectively control road tunnel ventilation system, a combined grey prediction fuzzy control (CGPFC) law is proposed in the paper. The output of this kind of combined controller is formed by combining outputs of the grey prediction fuzzy controller (GPFC) and the traditional fuzzy control law. The grey predictor is realized by discrete GM(1,1) and it is used to predict the system outputs on line in rolling mode. The simulation and experiment for this new fuzzy control law to be applied in road tunnel ventilation system are conducted. The simulation and the practical application show that the effect of this method is better and it also cost less energy compared to the traditional fuzzy control method. 2015 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47439895018 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.2 Vol.13 |
| title | Combined grey prediction fuzzy control law with application to road tunnel ventilation system |
| topic | Ingeniería tunnel fuzzy control Grey prediction compound control ventilation system |
| url | https://www.redalyc.org/articulo.oa?id=47439895018 |