A productivity signal feedback controller for continuous bioreactors

Abstract The control of continuous stirred bioreactors using productivity signal feedback consists of using the direct relation between the optimal static dilution rate and the optimal static productivity. This strategy drives the bioprocess to its optimal productivity point, irrespective of the feeding substrate concentration, and specific growth rate or substrate concentration estimates. While the algorithm covers a wide class of bioprocesses, explicit relations are given for the Monod and Haldane cases.

[1]  Mia Loccufier,et al.  Determination of appropriate operating strategies for anaerobic digestion systems , 2010 .

[2]  Stefano Marsili-Libelli,et al.  On-line estimation of the nitrification process , 1997 .

[3]  M. Chidambaram,et al.  Near-optimal productivity control of a continuous bioreactor , 1995 .

[4]  Carlos Vilas,et al.  Indirect adaptive linearizing control of a class of bioprocesses – Estimator tuning procedure , 2008 .

[5]  Denis Dochain,et al.  Adaptive extremum-seeking control of a continuous stirred tank bioreactor with Haldane's Kinetics , 2004 .

[6]  Kostas Kalaitzakis,et al.  Design of a maximum power tracking system for wind-energy-conversion applications , 2006, IEEE Transactions on Industrial Electronics.

[7]  M. Guay,et al.  On-line optimization of fedbatch bioreactors by adaptive extremum seeking control , 2011 .

[8]  A Genovesi,et al.  Dynamical model development and parameter identification for an anaerobic wastewater treatment process. , 2001, Biotechnology and bioengineering.

[9]  K. Yamuna Rani,et al.  Control of fermenters : a review , 1999 .

[10]  V. Alcaraz-González,et al.  A robust control scheme to improve the stability of anaerobic digestion processes , 2010 .

[11]  Ilse Smets,et al.  Optimal adaptive control of (bio)chemical reactors: past, present and future , 2004 .

[12]  Sigurd Skogestad,et al.  Comparison of various control configurations for continuous bioreactors , 1997 .

[13]  Miroslav Krstic,et al.  Optimizing bioreactors by extremum seeking , 1999 .

[14]  Mia Loccufier,et al.  Optimality and stability in a class of bang–bang controlled biochemical reaction systems , 2008, Int. J. Control.

[15]  Wei Wu,et al.  Output regulation of a class of unstructured models of continuous bioreactors: steady-state approaches , 2003, Bioprocess and biosystems engineering.

[16]  D. Dochain,et al.  On-Line Estimation and Adaptive Control of Bioreactors , 2013 .

[17]  Mia Loccufier,et al.  An optimizing start-up strategy for a bio-methanator , 2012, Bioprocess and Biosystems Engineering.

[18]  Sirish L. Shah,et al.  A comparison of simultaneous state and parameter estimation schemes for a continuous fermentor reactor , 2010 .

[19]  Neli Dimitrova,et al.  Nonlinear adaptive stabilizing control of an anaerobic digestion model with unknown kinetics , 2012 .

[20]  Sing Kiong Nguang,et al.  Simple procedure for operating a class of continuous fermentation processes at the optimal steady state productivity , 1998 .