Fuzzy logic feedback control for fed-batch enzymatic hydrolysis of lignocellulosic biomass
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A fuzzy logic feedback control system was developed for process monitoring and feeding control in fed-batch enzymatic hydrolysis of a lignocellulosic biomass, dilute acid-pretreated corn stover. Digested glucose from hydrolysis reaction was assigned as input while doser feeding time and speed of pretreated biomass were responses from fuzzy logic control system. Membership functions for these three variables and rule-base were created based on batch hydrolysis data. The system response was first tested in LabVIEW environment then the performance was evaluated through real-time hydrolysis reaction. The feeding operations were determined timely by fuzzy logic control system and efficient responses were shown to plateau phases during hydrolysis. Feeding of proper amount of cellulose and maintaining solids content was well balanced. Fuzzy logic proved to be a robust and effective online feeding control tool for fed-batch enzymatic hydrolysis.
KeywordsFuzzy logic Enzymatic hydrolysis Feedback control Bioconversion Biofuels
This work was carried out with funding from a strategic research grant from the Institute of Agriculture and Natural Resources at the University of Nebraska. The authors would like to thank Novozymes North America Inc. for providing CTec2 and Mr. Aaron Engel for considerable help of LabVIEW programming.
- 12.Ros SD, Colusso G, Weschenfelder TA, de Marsillac Terra L, de Castilhos F, Corazza ML, Schwaab M (2013) A comparison among stochastic optimization algorithms for parameter estimation of biochemical kinetic models. Appl Soft Comput 13(5):2205–2214. doi: 10.1016/j.asoc.2013.01.019 CrossRefGoogle Scholar
- 14.Yager RR, Zadeh LA (2012) An introduction to fuzzy logic applications in intelligent systems. Springer, New YorkGoogle Scholar
- 20.Adney B, Baker J (1996) Measurement of cellulase activities. Laboratory analytical procedure, vol 6. National Renewable Energy Laboratory (NREL), GoldenGoogle Scholar
- 21.Sluiter A, Hames B, Hyman D, Payne C, Ruiz R, Scarlata C, Sluiter J, Templeton D, Wolfe J (2008) Determination of total solids in biomass and total dissolved solids in liquid process samples. National Renewable Energy Laboratory (NREL), GoldenGoogle Scholar
- 22.Sluiter A, Hames B, Ruiz R, Scarlata C, Sluiter J, Templeton D, Crocker D (2011) Determination of structural carbohydrates and lignin in biomass. National Renewable Energy Laboratory (NREL), GoldenGoogle Scholar
- 23.Ross TJ (2009) Fuzzy logic with engineering applications. Wiley, New YorkGoogle Scholar
- 24.Kuhad RC, Mehta G, Gupta R, Sharma KK (2010) Fed batch enzymatic saccharification of newspaper cellulosics improves the sugar content in the hydrolysates and eventually the ethanol fermentation by Saccharomyces cerevisiae. Biomass Bioenergy 34(8):1189–1194. doi: 10.1016/j.biombioe.2010.03.009 CrossRefGoogle Scholar
- 26.Morales-Rodríguez R, Capron M, Huusom JK, Sin G (2010) Controlled fed-batch operation for improving cellulose hydrolysis in 2G bioethanol production. Comput Aided Chem Eng 28:1497–1502Google Scholar
- 29.Selig M, Weiss N, Ji Y (2008) Enzymatic saccharification of lignocellulosic biomass. National Renewable Energy Laboratory (NREL), GoldenGoogle Scholar