Combined grey prediction fuzzy control law with application to road tunnel ventilation system
Título del documento: Combined grey prediction fuzzy control law with application to road tunnel ventilation system
Revista: Journal of applied research and technology
Base de datos: PERIÓDICA
Número de sistema: 000394079
ISSN: 1665-6423
Autores: 1
2
2
Instituciones: 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
Año:
Periodo: Abr
Volumen: 13
Número: 2
Paginación: 313-320
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Aplicado, descriptivo
Resumen en inglés 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
Disciplinas: Ciencias de la computación,
Ingeniería
Palabras clave: 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
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