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Model-based PIP control of the spatial temperature distribution in cars.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Model-based PIP control of the spatial temperature distribution in cars. / Quanten, S.; McKenna, Paul; Van Brecht, A. et al.
In: International Journal of Control, Vol. 76, No. 16, 10.11.2003, p. 1628-1634.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Quanten, S, McKenna, P, Van Brecht, A, Van Hirtum, A, Young, PC, Janssens, K & Berckmans, D 2003, 'Model-based PIP control of the spatial temperature distribution in cars.', International Journal of Control, vol. 76, no. 16, pp. 1628-1634. https://doi.org/10.1080/00207170310001624493

APA

Quanten, S., McKenna, P., Van Brecht, A., Van Hirtum, A., Young, P. C., Janssens, K., & Berckmans, D. (2003). Model-based PIP control of the spatial temperature distribution in cars. International Journal of Control, 76(16), 1628-1634. https://doi.org/10.1080/00207170310001624493

Vancouver

Quanten S, McKenna P, Van Brecht A, Van Hirtum A, Young PC, Janssens K et al. Model-based PIP control of the spatial temperature distribution in cars. International Journal of Control. 2003 Nov 10;76(16):1628-1634. doi: 10.1080/00207170310001624493

Author

Quanten, S. ; McKenna, Paul ; Van Brecht, A. et al. / Model-based PIP control of the spatial temperature distribution in cars. In: International Journal of Control. 2003 ; Vol. 76, No. 16. pp. 1628-1634.

Bibtex

@article{acfac001baa1464dba7f490d9acd87ec,
title = "Model-based PIP control of the spatial temperature distribution in cars.",
abstract = "An on-line mathematical approach was used to model the spatio-temporal temperature distribution in the imperfectly mixed air inside a car. A second-order model proved to be a sufficiently good description of the temperature dynamics (R-2 = 0.985) of the system. Furthermore, it was possible to fully understand the physical meaning of the second-order model structure. Using this model, a proportional integral plus (PIP) climate controller was developed for a single input single output (SISO) system. The controller was able to follow a temperature level of 18-23-21degreesC at any desirable point, and to robustly react to a random local disturbance.",
author = "S. Quanten and Paul McKenna and {Van Brecht}, A. and {Van Hirtum}, A. and Young, {P. C.} and K. Janssens and D. Berckmans",
year = "2003",
month = nov,
day = "10",
doi = "10.1080/00207170310001624493",
language = "English",
volume = "76",
pages = "1628--1634",
journal = "International Journal of Control",
issn = "0020-7179",
publisher = "Taylor and Francis Ltd.",
number = "16",

}

RIS

TY - JOUR

T1 - Model-based PIP control of the spatial temperature distribution in cars.

AU - Quanten, S.

AU - McKenna, Paul

AU - Van Brecht, A.

AU - Van Hirtum, A.

AU - Young, P. C.

AU - Janssens, K.

AU - Berckmans, D.

PY - 2003/11/10

Y1 - 2003/11/10

N2 - An on-line mathematical approach was used to model the spatio-temporal temperature distribution in the imperfectly mixed air inside a car. A second-order model proved to be a sufficiently good description of the temperature dynamics (R-2 = 0.985) of the system. Furthermore, it was possible to fully understand the physical meaning of the second-order model structure. Using this model, a proportional integral plus (PIP) climate controller was developed for a single input single output (SISO) system. The controller was able to follow a temperature level of 18-23-21degreesC at any desirable point, and to robustly react to a random local disturbance.

AB - An on-line mathematical approach was used to model the spatio-temporal temperature distribution in the imperfectly mixed air inside a car. A second-order model proved to be a sufficiently good description of the temperature dynamics (R-2 = 0.985) of the system. Furthermore, it was possible to fully understand the physical meaning of the second-order model structure. Using this model, a proportional integral plus (PIP) climate controller was developed for a single input single output (SISO) system. The controller was able to follow a temperature level of 18-23-21degreesC at any desirable point, and to robustly react to a random local disturbance.

U2 - 10.1080/00207170310001624493

DO - 10.1080/00207170310001624493

M3 - Journal article

VL - 76

SP - 1628

EP - 1634

JO - International Journal of Control

JF - International Journal of Control

SN - 0020-7179

IS - 16

ER -