Heat exchanger control using model predictive control with constraint removal

Climate change enforces the implementation of sustainable industrial production with a special focus on pollution reduction, resource management, and energy savings. These goals are addressed by designing advanced control methods using solution an adequately formulated optimization problem. Heat exchangers represent particularly energy-demanding plants that challenging from controller design point view. Model predictive (MPC) is suitable strategy to address relevant tasks. The complexity real-time MPC directly depends number inequality constraints in corresponding Therefore, computational effort can be reduced removing inactive constraints. Since does not optimal solution, it desirable detect current system state measurement remove them formulation problem before running solver. However, external disturbances, parametric uncertainties, setpoint changes often impact real plants, limiting application range conventional constraint removal approach. In this paper, we propose modification approach issue. modified achieves robustness required for practical laboratory-scaled heat exchanger. performance exchanger analyzed perspective considering time consumption implementing 32-bit microcontroller.