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

Tom R. Molderez; Bas de Wit; Korneel Rabaey; Marian Verhelst

doi:10.1109/IECON.2017.8216528

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

Tom R. Molderez, Bas de Wit, Korneel Rabaey, Marian Verhelst

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	3128-3133
Number of pages	6
ISBN (Electronic)	9781538611272
DOIs	https://doi.org/10.1109/IECON.2017.8216528
Publication status	Published - 15 Dec 2017
Event	43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China Duration: 29 Oct 2017 → 1 Nov 2017 Conference number: 43

Conference

Conference	43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
Abbreviated title	IECON 2017
Country/Territory	China
City	Beijing
Period	29/10/17 → 1/11/17

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10.1109/IECON.2017.8216528

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Molderez, T. R., de Wit, B., Rabaey, K., & Verhelst, M. (2017). Successive parabolic interpolation as extremum seeking control for microbial fuel & electrolysis cells. In Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society (pp. 3128-3133). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IECON.2017.8216528

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title = "Successive parabolic interpolation as extremum seeking control for microbial fuel & electrolysis cells",

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 R.} and {de Wit}, Bas and Korneel Rabaey and Marian Verhelst",

year = "2017",

month = dec,

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doi = "10.1109/IECON.2017.8216528",

language = "English",

pages = "3128--3133",

booktitle = "Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017, IECON 2017 ; Conference date: 29-10-2017 Through 01-11-2017",

}

Molderez, TR, de Wit, B, Rabaey, K & Verhelst, M 2017, Successive parabolic interpolation as extremum seeking control for microbial fuel & electrolysis cells. in Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers, Piscataway, pp. 3128-3133, 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017, Beijing, China, 29/10/17. https://doi.org/10.1109/IECON.2017.8216528

Successive parabolic interpolation as extremum seeking control for microbial fuel & electrolysis cells. / Molderez, Tom R.; de Wit, Bas; Rabaey, Korneel et al.
Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Piscataway: Institute of Electrical and Electronics Engineers, 2017. p. 3128-3133.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Successive parabolic interpolation as extremum seeking control for microbial fuel & electrolysis cells

AU - Molderez, Tom R.

AU - de Wit, Bas

AU - Rabaey, Korneel

AU - Verhelst, Marian

N1 - Conference code: 43

PY - 2017/12/15

Y1 - 2017/12/15

N2 - 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.

AB - 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.

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EP - 3133

BT - Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society

PB - Institute of Electrical and Electronics Engineers

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T2 - 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017

Y2 - 29 October 2017 through 1 November 2017

ER -

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

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