Open AccessSimulation and Experimental Studies of MPC for Level Control of Modified Quadruple Tank System
Author(s) -
Tarun Varshney,
Shekhar Gehlaut,
Shonak Bansal
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/594/1/012038
Subject(s) - model predictive control , benchmark (surveying) , control theory (sociology) , nonlinear system , control (management) , controller (irrigation) , set (abstract data type) , computer science , pid controller , control engineering , engineering , temperature control , artificial intelligence , physics , geodesy , quantum mechanics , agronomy , biology , programming language , geography
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.