The paper investigates the use of non-linear model predictive control
(NLMPC) as an advanced control strategy for the control of multi-stage
flash (MSF) desalination plants, For this purpose, a comprehensive no
n-linear dynamic model was developed for the MSF plant and was validat
ed with actual plant data. A control structure for the plant was then
developed from which two control objectives were selected, One control
objective is to maximize the distillate product and the other is to m
aximize the performance ratio while maintaining the manipulated variab
les in both cases under tight hard constraints. The NLMPC algorithm wa
s then tested with these two objectives for both nominal and non-nomin
al model cases, In the non-nominal case the effects of parametric mode
ling error on the NLMPC performance were examined. Closed-loop simulat
ions show that the advanced control strategy allows good control perfo
rmance and substantial energy savings even when the plant is under the
influence of unavoidable model uncertainties, The performances of the
NLMPC algorithm were compared with a conventional proportional-integr
al (PI) controller.