Professional paper
Model Predictive Fuzzy Control of Longitudinal Ventilation System in a Road Tunnel
Stjepan Bogdan
Bruno Birgmajer
Abstract
In this paper we describe a control method for longitudinal ventilation of road tunnels. The method consists of two main elements: a) prediction of a number of jet fans and b) fuzzy control of pollutant levels. Based on measurements of traffic intensity and weather conditions and by knowing tunnel parameters, production of CO, NOx and small particles (soot) is predicted. Estimated values of pollutants are then used for calculation of fresh air volume demand, i.e. required air flow is determined. One dimensional force equation is used for estimation of a number of jet fans that would produce a thrust force sufficient to provide calculated air flow. In the same time a fuzzy controller compares measured and requested levels of pollutants and adjusts a predicted number of jet fans in order to keep the pollutant levels within predefined boundaries. The proposed method is tested by simulation and obtained results are compared with a method which was previosly used in the ventilation system of the tunnel Ucka. Finally, the field results from the proposed control method implementation in the tunel Ucka are presented.
Keywords
fuzzy control; predictive control; road tunnel ventilation
Hrčak ID:
4409
URI
Publication date:
3.5.2006.
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