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This paper deals with two approaches to the practical implementation of the Balance-Based Adaptive Controller(B-BAC): the low-level PLC-based approach of the explicit form of the B-BAC and the high-level PC-based one in the form of the general "virtual controller". In both cases, we discuss the details of meeting the general requirements of a particular practical implementation. We also consider the implementation aspects that are independent of the implementation, such as development of the front panel, saturation of a manipulated variable, on-line measurement and data acquisition, implementation of the on-line estimation procedure, bumpless switching between the automatic and manual mode, etc. Additionally, we present how to derive both the general form and the final explicit form of the B-BAC on the example of a biotechnological process and how to apply these forms in the particular practical implementation.
EN
This paper deals with the idea of estimation of the substrate consumption rate at each point of the tube of the classical distributed parameter bioreactor and with its application to the monitoring and control of this system. It is shown how to approximate the profile of this parameter on the basis of the orthogonal collocation method and of the recursive least-squares procedure with adjustable forgetting factor. Then, it is suggested how to apply this profile for monitoring of the bioreactor work (calculation of the current mass flux of the substrate being reacted in the reactor tube and of the total mass of the substrate converted in the bioreactor during its activity). Finally, the linearizing adaptive control law is derived on the basis of the substrate consumption rate estimated at the outlet of the bioreactor. This controller allows the outlet substrate concentration to be kept at its desired value by manipulating the velocity of the flowing medium. The idea presented in this paper has been validated by means of the computer simulation and the results, proving its very good properties, complete the paper.
EN
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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