Abstract
In this paper an experimental validation of on-line monitoring and optimal adaptive control strategies for the baker’s yeast fermentation is presented. The online monitoring strategy consists of an on-line biomass measurement (based on a capacitance measure), which is exploited to estimate the specific growth rate by using an observer based estimator. The model based control algorithm is an adaptive linearizing control law, which keeps the estimated specific growth rate constant during the fermentation. Special attention is devoted to the tuning of the estimator and the controller.
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