Mathematical Description of Tunnel Systems for the Purpose of Design the Predictive Algorithm

Model Predictive Control (MPC) is an advanced method of process control that has been in use in the process industry such as chemical plants and oil refineries since the 1980s. Model predictive controllers rely on dynamic models of the process, obtained by system identification. In this work a design approach for control of ventilation system in road tunnel by model predictive control algorithm is described. Predictive control seems to be an appropriate approach that can help to improve properties of existing ventilation systems. Advantages of predictive control result mainly from its ability to solve both SISO and MIMO tasks, to have regard for dynamics of process changes in a broad extent, to compensate effect of measurable and non-measurable failures and to formulate the task as an „optimization control task“ considering limiting conditions of control actions, changes of control actions and output variables. We can use identification of the system based on the data obtained from the real ventilation system.