Implementation of Model Predictive Control in Real Time Systems

Model Predictive Control (MPC) has many advantages which cannot be realized because of its complicated nature and restricted application. In this paper closed loop response of MPC is compared with unconstrained optimal controller and the results are plotted. MPC operation is shown in function block with simple assigning process with complete setup being automated. In this paper, graphical representation of MPC inputs and outputs, visualization with editing, simulation and verification of model are provided. The results show that using MPC is very useful for real time systems as the throughput is increased.