Please use this identifier to cite or link to this item: https://doi.org/10.1205/026387600526933
Title: An effective technique for batch process optimization with application to crystallization
Authors: Ge, M.
Wang, Q.-G. 
Chiu, M.-S. 
Lee, T.-H. 
Hang, C.-C. 
Teo, K.-H.
Keywords: Batch process
Iterative dynamic optimization
Plant-model mismatch
Issue Date: Jan-2000
Citation: Ge, M., Wang, Q.-G., Chiu, M.-S., Lee, T.-H., Hang, C.-C., Teo, K.-H. (2000-01). An effective technique for batch process optimization with application to crystallization. Chemical Engineering Research and Design 78 (1) : 99-106. ScholarBank@NUS Repository. https://doi.org/10.1205/026387600526933
Abstract: An iterative dynamic optimization methodology is developed for on-line optimization of batch processes in the presence of plant-model mismatch and measurable error. In the proposed method, the plant-model mismatch is effectively eliminated by using information from previous batches to modify the trajectories that are applied to the subsequent ones. In addition, the effect of modelling error on the convergence of this algorithm is investigated. The utility of the proposed method is illustrated through the end-point optimization problem in the batch crystallization process, and comparisons to other optimization methods are made.
Source Title: Chemical Engineering Research and Design
URI: http://scholarbank.nus.edu.sg/handle/10635/61796
ISSN: 02638762
DOI: 10.1205/026387600526933
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