| Résumé: | The bioethanol fermentation process has a complex dynamics and is inherently
nonlinear. The nonlinearity behavior of the process is caused by the variation in the
biomass composition with the operating conditions while the constraints inherited by
the process increase the process complexity. Due to these reasons, the modelling and
the control of the bioethanol fermentation process is difficult and the application of
model based control strategies often lead to a better performance. In this work, a
Nonlinear Model Predictive Controller (NMPC), which is one of the well-known
model control strategies, has been developed to control the product concentration and
the fermenter temperature of the bioethanol fermentation process.
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