Additive Uncertainty Consideration for Nonlinear and Multivariable Bioprocess Control

Authors

Keywords:

Estimation, Linear algebra, Nonlinear tracking control, Uncertainty., estimation, linear algebra, nonlinear control, uncertainty

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 Newton’s 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.

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Author Biographies

Cecilia Fernández, Instituto de Ingeniería Química, Universidad Nacional de San Juan (UNSJ), CONICET, Av. Lib. San Martín Oeste 1109, San Juan J5400ARL.

Cecilia Fernández received the Food Processing Engineering degree from the National University of San Juan - Argentina, in 2014. Then the Doctorate in Chemical Engineering - Mention Clean Processes degree from the National University of San Juan - Argentina, in 2019. At this time, she is dedicated to process engineering, specifically to optimization and control of multivariable non-linear processes. Her main research interests include modeling, state estimation, and trajectory tracking control of biochemical processes.

Nadia Pantano, Instituto de Ingeniería Química, Universidad Nacional de San Juan

Nadia Pantano received the Chemical Engineering degree from the National University of San Juan - Argentina, in 2008. Then the Doctorate in Chemical Engineering - Mention Clean Processes degree from the National University of San Juan - Argentina, in 2019. At this time, she is dedicated to process engineering, specifically to optimization and control of multivariable non-linear processes. Her main research interests include modeling, optimization, and trajectory tracking control of biochemical processes.

Leandro Rodriguez, Instituto de Ingeniería Química, Universidad Nacional de San Juan

Leandro Rodriguez received the Food Processing Engineering degree from the National University of San Juan – Argentina, in 2008. Then, he received the Doctorate in Chemical Engineering degree from the National University of the South – Argentina, in 2015. At this time, he is dedicated to process engineering, specifically to optimization and control of multivariable nonlinear systems. His main research interests include modeling, state estimation, optimization, sensor location and trajectory tracking control of water systems.

Gustavo Scaglia, Instituto de Ingeniería Química, Universidad Nacional de San Juan

Gustavo Scaglia received the Ing. degree in Electronic Engineering with orientation in Control Systems from the National University of San Juan, Argentina, in 1999. Then, the Ph.D in Control Systems from the National University of San Juan, Argentina, in 2006. He is a Research Fellow of the Council for Scientific and Technological Research, Argentina, since 2011. He leads different technological projects and his current scientific research at the Engineering Chemical Institute from National University of San Juan. His main interests are

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Published

2021-06-07

How to Cite

Fernández, C., Pantano, N., Rodriguez, L., & Scaglia, G. (2021). Additive Uncertainty Consideration for Nonlinear and Multivariable Bioprocess Control. IEEE Latin America Transactions, 19(5), 798–806. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/4003