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Nonlinear control of ventilation rate using state dependent parameter models

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Nonlinear control of ventilation rate using state dependent parameter models. / Stables, M. A.; Taylor, C. James.
In: Biosystems Engineering, Vol. 95, No. 1, 09.2006, p. 7-18.

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

Harvard

Stables, MA & Taylor, CJ 2006, 'Nonlinear control of ventilation rate using state dependent parameter models', Biosystems Engineering, vol. 95, no. 1, pp. 7-18. https://doi.org/10.1016/j.biosystemseng.2006.05.015

APA

Stables, M. A., & Taylor, C. J. (2006). Nonlinear control of ventilation rate using state dependent parameter models. Biosystems Engineering, 95(1), 7-18. https://doi.org/10.1016/j.biosystemseng.2006.05.015

Vancouver

Stables MA, Taylor CJ. Nonlinear control of ventilation rate using state dependent parameter models. Biosystems Engineering. 2006 Sept;95(1):7-18. doi: 10.1016/j.biosystemseng.2006.05.015

Author

Stables, M. A. ; Taylor, C. James. / Nonlinear control of ventilation rate using state dependent parameter models. In: Biosystems Engineering. 2006 ; Vol. 95, No. 1. pp. 7-18.

Bibtex

@article{689b3d8a2dce4c2fbf47fb856ea9f693,
title = "Nonlinear control of ventilation rate using state dependent parameter models",
abstract = "The objective of this paper is to develop non-linear proportional-integral-plus (PIP) control algorithms for regulating ventilation rate in mechanically ventilated agricultural buildings. State-dependent parameter (SDP) models are developed for an environmental test chamber, representing a section of a livestock building or glasshouse. Here, the system is modelled using the quasi-linear SDP model structure in which the parameters are functionally dependent on other variables in the system. The model is subsequently utilised to develop a new approach to control system design, based on non-linear PIP pole assignment, with a discrete-time Smith Predictor to handle the sampled time delays. Implementation results for the test chamber demonstrate improved control of ventilation rate, with a faster response to disturbances in comparison with both linear and conventional (linearised) scheduled PIP control. The approach has application to a wide class of other non-linear systems, as demonstrated by simulation examples.",
keywords = "Non-linear, state-dependent parameter, ventilation rate, proportional-integral-plus",
author = "Stables, {M. A.} and Taylor, {C. James}",
year = "2006",
month = sep,
doi = "10.1016/j.biosystemseng.2006.05.015",
language = "English",
volume = "95",
pages = "7--18",
journal = "Biosystems Engineering",
issn = "1537-5110",
publisher = "Academic Press Inc.",
number = "1",

}

RIS

TY - JOUR

T1 - Nonlinear control of ventilation rate using state dependent parameter models

AU - Stables, M. A.

AU - Taylor, C. James

PY - 2006/9

Y1 - 2006/9

N2 - The objective of this paper is to develop non-linear proportional-integral-plus (PIP) control algorithms for regulating ventilation rate in mechanically ventilated agricultural buildings. State-dependent parameter (SDP) models are developed for an environmental test chamber, representing a section of a livestock building or glasshouse. Here, the system is modelled using the quasi-linear SDP model structure in which the parameters are functionally dependent on other variables in the system. The model is subsequently utilised to develop a new approach to control system design, based on non-linear PIP pole assignment, with a discrete-time Smith Predictor to handle the sampled time delays. Implementation results for the test chamber demonstrate improved control of ventilation rate, with a faster response to disturbances in comparison with both linear and conventional (linearised) scheduled PIP control. The approach has application to a wide class of other non-linear systems, as demonstrated by simulation examples.

AB - The objective of this paper is to develop non-linear proportional-integral-plus (PIP) control algorithms for regulating ventilation rate in mechanically ventilated agricultural buildings. State-dependent parameter (SDP) models are developed for an environmental test chamber, representing a section of a livestock building or glasshouse. Here, the system is modelled using the quasi-linear SDP model structure in which the parameters are functionally dependent on other variables in the system. The model is subsequently utilised to develop a new approach to control system design, based on non-linear PIP pole assignment, with a discrete-time Smith Predictor to handle the sampled time delays. Implementation results for the test chamber demonstrate improved control of ventilation rate, with a faster response to disturbances in comparison with both linear and conventional (linearised) scheduled PIP control. The approach has application to a wide class of other non-linear systems, as demonstrated by simulation examples.

KW - Non-linear

KW - state-dependent parameter

KW - ventilation rate

KW - proportional-integral-plus

U2 - 10.1016/j.biosystemseng.2006.05.015

DO - 10.1016/j.biosystemseng.2006.05.015

M3 - Journal article

VL - 95

SP - 7

EP - 18

JO - Biosystems Engineering

JF - Biosystems Engineering

SN - 1537-5110

IS - 1

ER -