Simulation and Experimental Studies of MPC for Level Control of Modified Quadruple Tank System

Abstract Model Predictive Control (MPC) has been a powerful control strategy as it has already been proved with simulation and experimental studies. In this study, MPC has been explored for the level control of a nonlinear benchmark quadruple tank system. MPC has been applied as a real-time control strategy for set point control and disturbance rejection. Rigorous simulations and experiments have been done and fairy compared with those from the use of decentralized PI controller. To validate the results, real-time experimental studies have also been carried out for two possible configurations. The application offers a new look at the performance of the MPC for complex systems control.