Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/67548
Title: Set point weighting for simplified model predictive control
Authors: Rangaiah, G.P. 
Krishnaswamy, P.R. 
Issue Date: Dec-1992
Source: Rangaiah, G.P.,Krishnaswamy, P.R. (1992-12). Set point weighting for simplified model predictive control. The Chemical Engineering Journal 50 (3) : 159-163. ScholarBank@NUS Repository.
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. © 1992.
Source Title: The Chemical Engineering Journal
URI: http://scholarbank.nus.edu.sg/handle/10635/67548
ISSN: 03009467
Appears in Collections:Staff Publications

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