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Additive Uncertainty Consideration for Nonlinear and Multivariable Bioprocess Control

Abstract:

Biological processes are becoming more frequent nowadays due to the wide variety of products obtained from them and their possibility of making environmentally friendly some processes while high standard products are obtained. Nevertheless, controlling them has many difficulties due to their complex dynamic (multivariable and highly nonlinear systems) subject to modeling uncertainties and external disturbances presence. In this paper, two possibilities of improvement for a previously presented technique are proposed. In the first one, an approach based on the error estimation using Newtons backward interpolation is included in the design equations to decrease the uncertainties effect; while in the second one, some tracking error integrators are added in the control action calculation. Alternatives are applied in a bioethanol system, tested under different conditions and compared to show the improvements.