Adaptive optimal control of fed-batch alcoholic fermentation |
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Authors: | Alves T L M Costa A C Henriques A W S Lima E L |
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Institution: | (1) PEQ/COPPE/UFRJ, Cx. Postal 68502, CEP 21945-970 Rio de Janeiro, RJ, Brazil |
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Abstract: | An adaptive control scheme is developed for the optimization of a fed-batch ethanol production process. The fermentation process
is modeled by an hybrid neural model combining mass balance equations and neural networks, used to represent the kinetic rates.
The networks used, the functional link networks (FLN), allow the linear estimation of their parameters; this enables the re-estimation
of the parameters at each sampling time, and thus the development of an adaptive optimal control scheme. |
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Keywords: | Index Entries" target="_blank">Index Entries Ethanol production optimal control hybrid neural modeling adaptive control |
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