Servicios Personalizados
Revista
Articulo
Indicadores
- Citado por SciELO
- Accesos
Links relacionados
- Similares en SciELO
Compartir
Journal of applied research and technology
versión On-line ISSN 2448-6736versión impresa ISSN 1665-6423
Resumen
LI, Yunhua; LING, Lina y CHEN, Jiantao. Combined grey prediction fuzzy control law with application to road tunnel ventilation system. J. appl. res. technol [online]. 2015, vol.13, n.2, pp.313-320. ISSN 2448-6736.
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.
Palabras llave : Grey prediction; Fuzzy control; Tunnel; Compound control; Ventilation system.