Combining prior knowledge with data driven modeling of a batch distillation column including start-up

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Lith, Pascal F. van and Betlem, Ben H.L. and Roffel, Brian (2003) Combining prior knowledge with data driven modeling of a batch distillation column including start-up. Computers & Chemical Engineering, 27 (7). pp. 1021-1030. ISSN 0098-1354

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Abstract:This paper presents the development of a simple model which describes the product quality and production over time of an experimental batch distillation column, including start-up. The model structure is based on a simple physical framework, which is augmented with fuzzy logic. This provides a way to use prior knowledge about the dynamics, which have a general validity, while additional information about the specific column behavior is derived from measured process data. The model framework is applicable for a wide range of columns operating under a certain control policy. The model framework for the particular column under study makes a priori assumptions about the specific behavior superfluous. In addition, a detailed description of the internal dynamics is not required, which reduces modeling effort. Three different hybrid model structures are compared; the model that uses the available sources of information most effectively can be used to simulate production including part of the start-up by applying constant quality control.
Item Type:Article
Copyright:© 2003 Elsevier Science
Faculty:
Science and Technology (TNW)
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Link to this item:http://purl.utwente.nl/publications/61382
Official URL:http://dx.doi.org/10.1016/S0098-1354(03)00067-X
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