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Successive parabolic interpolation as extremum seeking control for microbial fuel & electrolysis cells

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Organization
Abstract
Microbial Fuel Cell (MFC) power production and Microbial Electrolysis Cell (MEC) organic production depend strongly on their dynamic environment conditions, like inlet substrate concentration, temperature, etc. This work presents a discrete extremum seeking controller to quickly tune the MFC and MEC electrical settings in order to achieve maximum performance irrespective of these dynamic environment conditions using the successive parabolic interpolation iteration scheme. The controller converges in about 3.5 days within 5% of the cell's maximum performance and in about 5.4 days within 1% for an established MFC model. The proposed discrete parabola controller converges 3x faster than the state-of-the-art controllers without requiring a time-consuming calibration procedure. Equally fast convergence speed is achieved on a MEC model.
Keywords
MULTIUNIT OPTIMIZATION METHOD, BIOELECTRICITY, SYSTEMS, UNITS

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MLA
Molderez, Tom, Bas de Wit, Korneel Rabaey, et al. “Successive Parabolic Interpolation as Extremum Seeking Control for Microbial Fuel & Electrolysis Cells.” IEEE Industrial Electronics Society. New York, NY, USA: IEEE, 2017. 3128–3133. Print.
APA
Molderez, T., de Wit, B., Rabaey, K., & Verhelst, M. (2017). Successive parabolic interpolation as extremum seeking control for microbial fuel & electrolysis cells. IEEE Industrial Electronics Society (pp. 3128–3133). Presented at the 43rd Annual conference of the IEEE Industrial Electronics Society (IECON 2017), New York, NY, USA: IEEE.
Chicago author-date
Molderez, Tom, Bas de Wit, Korneel Rabaey, and Marian Verhelst. 2017. “Successive Parabolic Interpolation as Extremum Seeking Control for Microbial Fuel & Electrolysis Cells.” In IEEE Industrial Electronics Society, 3128–3133. New York, NY, USA: IEEE.
Chicago author-date (all authors)
Molderez, Tom, Bas de Wit, Korneel Rabaey, and Marian Verhelst. 2017. “Successive Parabolic Interpolation as Extremum Seeking Control for Microbial Fuel & Electrolysis Cells.” In IEEE Industrial Electronics Society, 3128–3133. New York, NY, USA: IEEE.
Vancouver
1.
Molderez T, de Wit B, Rabaey K, Verhelst M. Successive parabolic interpolation as extremum seeking control for microbial fuel & electrolysis cells. IEEE Industrial Electronics Society. New York, NY, USA: IEEE; 2017. p. 3128–33.
IEEE
[1]
T. Molderez, B. de Wit, K. Rabaey, and M. Verhelst, “Successive parabolic interpolation as extremum seeking control for microbial fuel & electrolysis cells,” in IEEE Industrial Electronics Society, Beijing, PR China, 2017, pp. 3128–3133.
@inproceedings{8560392,
  abstract     = {Microbial Fuel Cell (MFC) power production and Microbial Electrolysis Cell (MEC) organic production depend strongly on their dynamic environment conditions, like inlet substrate concentration, temperature, etc. This work presents a discrete extremum seeking controller to quickly tune the MFC and MEC electrical settings in order to achieve maximum performance irrespective of these dynamic environment conditions using the successive parabolic interpolation iteration scheme. The controller converges in about 3.5 days within 5% of the cell's maximum performance and in about 5.4 days within 1% for an established MFC model. The proposed discrete parabola controller converges 3x faster than the state-of-the-art controllers without requiring a time-consuming calibration procedure. Equally fast convergence speed is achieved on a MEC model.},
  author       = {Molderez, Tom and de Wit, Bas and Rabaey, Korneel and Verhelst, Marian},
  booktitle    = {IEEE Industrial Electronics Society},
  isbn         = {9781538611272},
  issn         = {1553-572X},
  keywords     = {MULTIUNIT OPTIMIZATION METHOD,BIOELECTRICITY,SYSTEMS,UNITS},
  language     = {eng},
  location     = {Beijing, PR China},
  pages        = {3128--3133},
  publisher    = {IEEE},
  title        = {Successive parabolic interpolation as extremum seeking control for microbial fuel & electrolysis cells},
  year         = {2017},
}

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