کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
688663 1460361 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Nonlinear model predictive control of fed-batch fermentations using dynamic flux balance models
ترجمه فارسی عنوان
کنترل غیرمستقیم پیش بینی کنترل تخمیر های دسته ای با استفاده از مدل های تعادلی جریان شار
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی تکنولوژی و شیمی فرآیندی
چکیده انگلیسی


• A nonlinear model predictive control scheme for fed-batch bioreactors is developed.
• The scheme utilizes a dynamic flux balance model for control calculations.
• Feedback is implemented through state resetting over a shrinking control horizon.
• Simulations show 8–15% ethanol production increases compared to open-loop control.

Fed-batch fermentation is an important production technology in the biochemical industry. Using fed-batch Saccharomyces cerevisiae fermentation as a prototypical example, we developed a general methodology for nonlinear model predictive control of fed-batch bioreactors described by dynamic flux balance models. The control objective was to maximize ethanol production at a fixed final batch time by adjusting the glucose feeding rate and the aerobic–anaerobic switching time. Effectiveness of the closed-loop implementation was evaluated by comparing the relative performance of NMPC and the open-loop optimal controller. NMPC was able to compensate for structural errors in the intracellular model and parametric errors in the substrate uptake kinetics and cellular energetics by increasing ethanol production between 8.0% and 14.7% compared with the open-loop operating policy. Minimal degradation in NMPC performance was observed when the biomass, glucose, and ethanol concentration and liquid volume measurements were corrupted with Gaussian white noise. NMPC based on the dynamic flux balance model was shown to improve ethanol production compared to the same NMPC formulation based on a simpler unstructured model. To our knowledge, this study represents the first attempt to utilize a dynamic flux balance model within a nonlinear model-based control scheme.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Process Control - Volume 42, June 2016, Pages 137–149
نویسندگان
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