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Modelling and control design for free air carbon dioxide enrichment (FACE) systems

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Modelling and control design for free air carbon dioxide enrichment (FACE) systems. / Taylor, C. James; Young, Peter C.; Chotai, Arun et al.
In: Journal of Agricultural Engineering Research, Vol. 75, No. 4, 04.2000, p. 365-374.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Taylor, CJ, Young, PC, Chotai, A, Mcleod, A & Glasock, AR 2000, 'Modelling and control design for free air carbon dioxide enrichment (FACE) systems', Journal of Agricultural Engineering Research, vol. 75, no. 4, pp. 365-374. https://doi.org/10.1006/jaer.1999.0515

APA

Vancouver

Taylor CJ, Young PC, Chotai A, Mcleod A, Glasock AR. Modelling and control design for free air carbon dioxide enrichment (FACE) systems. Journal of Agricultural Engineering Research. 2000 Apr;75(4):365-374. doi: 10.1006/jaer.1999.0515

Author

Taylor, C. James ; Young, Peter C. ; Chotai, Arun et al. / Modelling and control design for free air carbon dioxide enrichment (FACE) systems. In: Journal of Agricultural Engineering Research. 2000 ; Vol. 75, No. 4. pp. 365-374.

Bibtex

@article{4579f0ff6aa841a6ae76b1668f58b2da,
title = "Modelling and control design for free air carbon dioxide enrichment (FACE) systems",
abstract = "Proportional-integral-plus (PIP) control is employed to maintain gas concentration in a small-scale free air carbon dioxide enrichment (FACE) system. FACE systems are designed to produce controlled concentrations of elevated carbon dioxide, or other atmospheric gases, enabling plant growth experiments to be carried out for in situ vegetation without the use of chambers or other enclosures. Current FACE systems employ control algorithms based on classically derived two- or three-term control laws with manually tuned parameters. However, small FACE plots are more susceptible to turbulent eddies than larger scale systems, making control of concentration particularly difficult. The research described in the present paper employs data from planned FACE experiments to develop PIP control algorithms exploiting model-based predictive control action. Initial trials utilizing this approach yield good results for a small-scale FACE system operating in an uncut arable meadow.",
author = "Taylor, {C. James} and Young, {Peter C.} and Arun Chotai and A. Mcleod and Glasock, {A. R.}",
year = "2000",
month = apr,
doi = "10.1006/jaer.1999.0515",
language = "English",
volume = "75",
pages = "365--374",
journal = "Journal of Agricultural Engineering Research",
issn = "0021-8634",
publisher = "Academic Press Inc.",
number = "4",

}

RIS

TY - JOUR

T1 - Modelling and control design for free air carbon dioxide enrichment (FACE) systems

AU - Taylor, C. James

AU - Young, Peter C.

AU - Chotai, Arun

AU - Mcleod, A.

AU - Glasock, A. R.

PY - 2000/4

Y1 - 2000/4

N2 - Proportional-integral-plus (PIP) control is employed to maintain gas concentration in a small-scale free air carbon dioxide enrichment (FACE) system. FACE systems are designed to produce controlled concentrations of elevated carbon dioxide, or other atmospheric gases, enabling plant growth experiments to be carried out for in situ vegetation without the use of chambers or other enclosures. Current FACE systems employ control algorithms based on classically derived two- or three-term control laws with manually tuned parameters. However, small FACE plots are more susceptible to turbulent eddies than larger scale systems, making control of concentration particularly difficult. The research described in the present paper employs data from planned FACE experiments to develop PIP control algorithms exploiting model-based predictive control action. Initial trials utilizing this approach yield good results for a small-scale FACE system operating in an uncut arable meadow.

AB - Proportional-integral-plus (PIP) control is employed to maintain gas concentration in a small-scale free air carbon dioxide enrichment (FACE) system. FACE systems are designed to produce controlled concentrations of elevated carbon dioxide, or other atmospheric gases, enabling plant growth experiments to be carried out for in situ vegetation without the use of chambers or other enclosures. Current FACE systems employ control algorithms based on classically derived two- or three-term control laws with manually tuned parameters. However, small FACE plots are more susceptible to turbulent eddies than larger scale systems, making control of concentration particularly difficult. The research described in the present paper employs data from planned FACE experiments to develop PIP control algorithms exploiting model-based predictive control action. Initial trials utilizing this approach yield good results for a small-scale FACE system operating in an uncut arable meadow.

U2 - 10.1006/jaer.1999.0515

DO - 10.1006/jaer.1999.0515

M3 - Journal article

VL - 75

SP - 365

EP - 374

JO - Journal of Agricultural Engineering Research

JF - Journal of Agricultural Engineering Research

SN - 0021-8634

IS - 4

ER -