Dynamic simulation and optimization for batch reactor control profiles

Lin Niu; Dongyue Yang

doi:10.1117/12.2020971

13 March 2013 Dynamic simulation and optimization for batch reactor control profiles

Lin Niu; Dongyue Yang

Author Affiliations +

Proceedings Volume 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies; 878426 (2013) https://doi.org/10.1117/12.2020971
Event: Fifth International Conference on Machine Vision (ICMV 12), 2012, Wuhan, China

Abstract

Batch crystallization is one of the most important chemical separation unit operations. Due to the complex mechanism and dynamic nature of this process the mathematical model research is a challenging task. In this paper, the authors present research achievement on batch crystallization modeling, simulation, optimization and parameter estimation. Within the proposed control strategy, a dynamic optimization is first preformed with the objective to obtain the optimal cooling temperature policy of a batch crystallizer, maximizing the total volume of seeded crystals. Next, owing to the complex and highly nonlinear behavior of the batch crystallizer, the nonlinear control strategy based on a generic model control (GMC) algorithm is implemented to track the resulting optimal temperature profile.

Citation Download Citation

Lin Niu, Lin Niu, Dongyue Yang, Dongyue Yang, } "Dynamic simulation and optimization for batch reactor control profiles", Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 878426 (13 March 2013); doi: 10.1117/12.2020971; https://doi.org/10.1117/12.2020971

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