Controller design for nonlinear stochastic system with time delay and constraints

Jet fans are installed on the ceiling or side walls of the tunnel to create the air stream. The jet fans take in tunnel air and blow it out at higher speed along the axis of the tunnel. In the tunnel is mounted several fans with about hundred kW each. The design and industrial implementation of automatic control systems requires powerful and economic techniques together with efficient tools. In order to solve a control problem it is necessary to describe somehow the dynamic behaviors of the system to be controlled. Predictive control seems to be a promising approach that can help to improve properties of existing ventilation systems applied in road tunnels. 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. Data characterizing the existing ventilation system can be used to analyze and identify the system and create its models. In this paper, we discuss the feedback linearization theory and particular relevance to process control in applications. The nonlinear controller design techniques can be used; input-output linearization and state-space linearization. Advanced topics such as dynamic feedback linearization, time delay compensation, constraint handling, and sampled-data systems are also discussed.