Control of technological and production processes as distributed parameter systems based on advanced numerical modeling

Abstract The paper describes some practical control problems of technological and production processes as nonlinear distributed parameter systems. These are solved based on advanced numerical modeling in virtual software environments offered for the numerical dynamic analysis of technological and production processes with co-simulations. The controlled systems are interpreted as nonlinear lumped input and distributed parameter output systems. Synthesis of control in space relation is solved by approximation methods in temporal relation by methods of control of lumped parameter systems. Some results are demonstrated by the control of the secondary cooling in the continuous casting of steel, based on a software sensor. Furthermore, the control of a casting die preheating process is introduced in this framework using a programmable logic controller (PLC).