Voltage control of Two-chamber microbial fuel using classical PI and MPC controller

Document Type : Original Research

Authors

1 Department of chemical engineering, University of Bojnord, Bojnord, Iran

2 Department of chemical engineering, Ferdowsi University of Mashhad, Mashhad, Iran

Abstract
In this paper, for control Voltage of two chamber Microbial fuel cell, two-type PI controller and MPC controller are used. For this purpose, two compartments of the model presented by Esfandyari et al. [1, 2] have been used to model the microbial fuel cell. Then, based on this model, a classic PI controller based on the internal model and a MPC controller was designed and implemented. Based on the designed controllers, it was adjusted by adjusting the flow rate of the substrate to changes usually introduced in turbulence, such as the concentration of input to the substrate, or the effect of the uncertainty in the parameters of the process model, such as rmax and Ks. The results show that the MPC controller has a better performance compared to the classic PI controller.

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1- Esfandyari M., Fanaei M.A., Gheshlaghi R., Mahdavi M.A., Dynamic modeling of a continuous two-chamber microbial fuel cell with pure culture of Shewanella. International Journal of Hydrogen Energy. 42, 21198-202, 2017.
2- Esfandyari M., Fanaei M.A., Gheshlaghi R., Mahdavi M.A., Mathematical modeling of two-chamber batch microbial fuel cell with pure culture of Shewanella. Chemical Engineering Research and Design. 117 , 34-4,2017.
3- Yan M., Fan L., Constant voltage output in two-chamber microbial fuel cell under fuzzy PID control. Int J Electrochem Sci. 8 , 3321-3332,2013.
4- Zeng Y., Choo Y.F., Ki B.H., Wu P., Modelling and simulation of two-chamber microbial fuel cell. Journal of Power Sources. 195, 79-89,2010.
5- Boghani H.C., Michie I., Dinsdale R.M., Guwy A.J., Premeir G.C., ontrol of microbial fuel cell voltage using a gain scheduling control strategy. Journal of Power Sources. 322 , 106-15, 2016.
6- Stewart P.S. , Diffusion in biofilms. Journal of bacteriology. 185 , 1485-1491,2003.
7- Merkey B.V., Chopp D.L.. The performance of a microbial fuel cell depends strongly on anode geometry: a multidimensional modeling study. Bulletin of mathematical biology. 74 834-857,2012.
8- Tang Y.J., Meadows A.L., Keasling J.D., A kinetic model describing Shewanella oneidensis MR-1 growth, substrate consumption, and product secretion. Biotechnology and Bioengineering. 96, 125-132, 2007.
.
9- Picioreanu C., van Loosdrecht M., Heijnen J., Multidimensional modeling of biofilm structure. Delft University of Technology, Faculty of Applied Sciences,1999.
10- Logan B.E., Hamelers B., Rozendal R., Schroder U., Keller J., Freguia S., et al. Microbial fuel cells: methodology and technology. Environmental science & technology, 40, 5181-592,2006.
11- Logan B.E., Microbial fuel cells. John Wiley & Sons2008.
12- Haverkamp R., Vauclin M., Touma J., Wierenga P., Vachaud G., A comparison of numerical simulation models for one-dimensional infiltration. Soil Science Society of 7America Journal. 41, 285-294,1977.
13- RenslowR., Babauta J., Kuprat A., Schenk J., Ivory C., Fredrickson J., et al. Modeling biofilms with dual extracellular electron transfer mechanisms. Physical Chemistry Chemical Physics. 15, 19262-16268,2013.
14- Smith C.A., Corripio A.B., Principles and practice of automatic process control. Wiley New York, 1985.