PERFORMANCE ANALYSIS OF A LIQUID COLUMN IN A CHEMICAL PLANT BY USING MPC

Babeeta Rathore, Manju Khare

Abstract: Model predictive control (MPC) is an advanced method of process control that has been in use in the process industries in chemical plants and oil refineries since the 1980s. In recent years it has also been used in power system balancing models. Model predictive controllers rely on dynamic models of the process, most often linear empirical models obtained by system identification. The main advantage of MPC is the fact that it allows the current timeslot to be optimized, while keeping future timeslots in account. This is achieved by optimizing a finite time-horizon, but only implementing the current timeslot. MPC has the ability to anticipate future events and can take control actions accordingly. PID and LQR controllers do not have this predictive ability. MPC is a digital control.

Keywords: Model predictive control (MPC); proportional-integral-derivative controller (PID)

DOI: https://doi.org/10.15623/ijret.2014.0305026