Abstract
Abstract An optimal grade transition control system integrating off-line optimizer and nonlinear model predictive controller is developed for polymerization reactors. The optimal trajectory of inputs and outputs is off-line computed by using first principles model. The nonlinear model predictive controller using the same first principles model together with a linearized state-space model ensures that the real process response does not stray away from the optimal trajectory. The proposed algorithm can provide attractive computational efficiency, nominal stability and good steady-state performance. An application of grade transition control on a slurry polyethylene reactor is presented to illustrate the capability of the algorithm.
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