Industrial oil producing stations: Modeling and analysis using petri nets and intelligent schemes

This paper suggests Petri nets as a mathematical and graphical tool for modeling an industrial oil producing station. It enhances the bottom-up methodology for modeling such stations. It also employs the MATLAB-based PN-tool and the concepts of Petri nets to analysis the developed model that has continuous and discrete activities. The former leads to some difficulties in modeling of hybrid systems due to the fact that most of industrial continuous activities have no models. This paper employs particle swarm algorithm and adaptive fuzzy controller to model and control such continuous activities that are represented with few places inside discrete ones. Simulation results depict the potential of using the PN-tool and intelligent systems for modeling industrial processes.