2022
DOI: 10.1016/j.compchemeng.2022.107735
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Robust nonlinear model predictive control of cascade of fermenters with recycle for efficient bioethanol production

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Cited by 9 publications
(3 citation statements)
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“…Even when the controller is appropriately tuned, variations in the process parameters over time may hurt their performance. To address these issues, a variety of model-based advanced control systems and optimization strategies have been reported in the literature, including model predictive control (MPC), model-based iterative learning control, nonlinear MPC (NMPC), among others. However, model-based controllers necessitate thorough model understanding, which happens infrequently and frequently leads to the issue of mismatch of plant output and model output. Furthermore, solving optimization-based control problems online may require heavy computational overheads.…”
Section: Introductionmentioning
confidence: 99%
“…Even when the controller is appropriately tuned, variations in the process parameters over time may hurt their performance. To address these issues, a variety of model-based advanced control systems and optimization strategies have been reported in the literature, including model predictive control (MPC), model-based iterative learning control, nonlinear MPC (NMPC), among others. However, model-based controllers necessitate thorough model understanding, which happens infrequently and frequently leads to the issue of mismatch of plant output and model output. Furthermore, solving optimization-based control problems online may require heavy computational overheads.…”
Section: Introductionmentioning
confidence: 99%
“…But a typical drawback of the continuous fermentation is the presence of multiple outputs (which would easily shift the process to the washout condition), as well as oscillations under certain conditions (the effect being the decrease in ethanol productivity, the loss of a high quantity of substrate). To stabilize the process, the cause of the reactor instability [8][9][10][11][12] is investigated; and, in view of the fact that the osmotic pressure formed at high ethanol concentrations (~50-60 g/L [13,14]) might inhibit or even kill yeast cells, hybrid designs through in situ ethanol removal to alleviate ethanol stress [15] are proposed. However, the accompanied instrumental cost as well as possible membrane fouling and degeneration are unbearable in industry.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the bioprocess intensification via feedback is relevant because of the unpredictability caused by the strong influence of the highly nonlinear behavior on the chemical kinetics, which can induce dynamic complexity such as steady-state multiplicity, operational instability, or even more, oscillatory dynamic behavior [1,2].…”
Section: Introductionmentioning
confidence: 99%