This paper deals with the model-based adaptive predictive control of the continuous fermentation process. For this system the theoretical approach to the substrate consumption rate is given and the estimation procedure with application of the recursive least-squares method is proposed. On the basis of this estimated value two nonlinear model-based adaptive predictive controllers for the substrate control are proposed: one with the dilution rate and the other with the inlet substrate concentration as the control quantities. Both estimation procedure and adaptive controllers are derived only on the basis of the simplified form of the mathematical model of the process so there is no necessity to consider the complete form of its nonlinear part. The estimation accuracy and the control performance are demonstrated by means of computer simulation both in the noiseless and noisy cases.
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