Software sensors design for the simultaneous saccharification and fermentation of starch to ethanol
作者： Pablo A. López Pérez , Rafael Maya Yescas , Rigel V. Gomez Acata , Vicente Peña Caballero , Ricardo Aguilar López
DOI: 10.1016/J.FUEL.2012.11.020
关键词:
摘要: Abstract A local analysis of stability and observability the ethanol process are determined for continuous operation. It is found that stable noncompletely observable in selected steady states. The was studied terms matrix rank conditions. Furthermore, we design a nonlinear observer order to estimate state variables. software sensor (state estimator) developed considering only one measurable variable, glucose concentration, taking account model uncertainties, which realistic issue. Some sufficient conditions existence proposed obtained, guarantee convergence methodology. maximum production obtained by manipulating dilution rate with optimal initial substrate concentration subspace determinate allows estimating six variables (starch susceptible starch biomass enzyme concentration). Numerical simulations provided show effectiveness where comparison standard sliding-mode done.
sci-hub.se 参考文章(47)
Purnendu Ghosh, Tarun K. Ghose, Bioethanol in India: recent past and emerging future. Advances in Biochemical Engineering \/ Biotechnology. ,vol. 85, pp. 1- 27 ,(2003) , 10.1007/3-540-36466-8_1
D. Dochain, M. Perrier, Dynamical modelling, analysis, monitoring and control design for nonlinear bioprocesses Advances in Biochemical Engineering \/ Biotechnology. ,vol. 56, pp. 147- 197 ,(1997) , 10.1007/BFB0103032
Robert J. Marks, Ian A. Gravagne, John M. Davis, Billy J. Jackson, CONTROLLABILITY, OBSERVABILITY, REALIZABILITY, AND STABILITY OF DYNAMIC LINEAR SYSTEMS arXiv: Optimization and Control. ,(2009)
Frederic Lafont, Eric Busvelle, Jean-Paul Gauthier, An adaptive high-gain observer for wastewater treatment systems Journal of Process Control. ,vol. 21, pp. 893- 900 ,(2011) , 10.1016/J.JPROCONT.2011.03.006
L. T. Fan, Yong-hyun Lee, Kinetic studies of enzymatic hydrolysis of insoluble cellulose: Derivation of a mechanistic kinetic model. Biotechnology and Bioengineering. ,vol. 25, pp. 2707- 2733 ,(1983) , 10.1002/BIT.260251115
M.Mete Altıntaş, Betül Kırdar, Z.İlsen Önsan, Kutlu Ö. Ülgen, Cybernetic modelling of growth and ethanol production in a recombinant Saccharomyces cerevisiae strain secreting a bifunctional fusion protein Process Biochemistry. ,vol. 37, pp. 1439- 1445 ,(2002) , 10.1016/S0032-9592(02)00031-6
Q Gan, S.J Allen, G Taylor, Kinetic dynamics in heterogeneous enzymatic hydrolysis of cellulose: an overview, an experimental study and mathematical modelling Process Biochemistry. ,vol. 38, pp. 1003- 1018 ,(2003) , 10.1016/S0032-9592(02)00220-0
Vinay A. Bavdekar, Anjali P. Deshpande, Sachin C. Patwardhan, Identification of process and measurement noise covariance for state and parameter estimation using extended Kalman filter Journal of Process Control. ,vol. 21, pp. 585- 601 ,(2011) , 10.1016/J.JPROCONT.2011.01.001
Svetlana Nikolić, Ljiljana Mojović, Marica Rakin, Dušanka Pejin, Bioethanol production from corn meal by simultaneous enzymatic saccharification and fermentation with immobilized cells of Saccharomyces cerevisiae var. ellipsoideus Fuel. ,vol. 88, pp. 1602- 1607 ,(2009) , 10.1016/J.FUEL.2008.12.019
Heléne Sundström, Sven-Olof Enfors, Software sensors for fermentation processes. Bioprocess and Biosystems Engineering. ,vol. 31, pp. 145- 152 ,(2008) , 10.1007/S00449-007-0157-5