| Journal: | Journal of applied research and technology |
| Database: | PERIÓDICA |
| System number: | 000394079 |
| ISSN: | 1665-6423 |
| Authors: | Li, Yunhua1 Ling, Lina2 Chen, Jiantao2 |
| Institutions: | 1North China University of Water Resources and Electric Power, School of Mechanical Engineering, Zhengzhou, Henan. China 2Beihang University, School of Automation Science and Engineering, Beijing. China |
| Year: | 2015 |
| Season: | Abr |
| Volumen: | 13 |
| Number: | 2 |
| Pages: | 313-320 |
| Country: | México |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Aplicado, descriptivo |
| English abstract | 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 |
| Disciplines: | Ciencias de la computación, Ingeniería |
| Keyword: | Ingeniería civil, Ingeniería de control, Túneles, Sistemas de ventilación, Control compuesto, Control difuso |
| Keyword: | Computer science, Engineering, Civil engineering, Control engineering, Tunnels, Ventilation systems, Compound control, Fuzzy control |
| Full text: | Texto completo (Ver HTML) |
