Set point weighting for simplified model predictive control

Abstract

Set point weighting (SPW) is a technique for achieving optimum performance of feedback control for both load and set point disturbances. It involves assigning a weighting factor to the set point in the proportional action part of the control algorithm. In this paper, simplified model predictive control (SMPC) is modified to include SPW. The modification consists of first tuning the SMPC controller for load disturbances and then optimizing the weighting factor for set point disturbances. The performance of the resulting feedback control system is studied through simulation and the results compared with those in the absence of SPW. In general, the results demonstrate that SPW offers significant benefits at practically no additional expense to digital control systems experiencing both load and set point variations.