SIMPLIFIED MODEL PREDICTIVE CONTROL FOR SINGLE AND CASCADE LOOPS

An analysis of the simplified model predictive control (SMPC) has been carried out so that the digital algorithm involved could be conveniently applied to single loop control of complex higher order processes with noise and dead time. Simulation results are presented to show the excellent capability of the control technique particularly in the presence of noise. Certain aspects related to SMPC tuning, such as development of a simple closed loop tuning procedure, have been discussed. Finally, the control law is extended to cascade control structure involving a primary and a secondary loop.