The paper presents the simulation results of an advanced control algorithm used for the control of the drying process of electric insulators. The industrial batch dryer is modeled and two different approaches are taken for its control. First, Model Predictive Control (MPC) is used for controlling the air temperature in the drying chamber. Results are compared with data obtained by using traditional PID control. In a second, more advantageous, approach a state observer is used for inferring the moisture content of the product, which is then controlled by means of the MPC controller. The linear model used by the MPC controller is periodically updated accounting for the non-linear behavior of the process. The requested drying program (both for temperature and moisture content control) consists of a rampconstant profile that is obtained by manipulating the air and natural gas flow rate. Simulation results reveal clear benefits of these MPC approaches over traditional control methods, and prove real incentives for industrial implementation.
All Science Journal Classification (ASJC) codes
- Chemical Engineering(all)
- Computer Science Applications