Control-oriented modeling and analysis of automotive transcritical AC system dynamics

Bryan Rasmussen; Andrew Alleyne; Clark Bullard; Pega Hrnjak; Norman Miller

doi:10.1109/acc.2002.1025267

Control-oriented modeling and analysis of automotive transcritical AC system dynamics

Bryan Rasmussen, Andrew Alleyne, Clark Bullard, Pega Hrnjak, Norman Miller

Research output: Contribution to journal › Conference article › peer-review

12 Scopus citations

Abstract

This paper presents a dynamic model of a transcritical air-conditioning system, specifically suited for multivariable controller design. The physically based model retains sufficient detail to accurately predict system dynamic response while also being simple enough to be of value in determining appropriate control strategies. The control focus would be quasi-steady transitions between operating states by modulating flow rates of both air and refrigerant to meet changing constraints on capacity, efficiency, noise, etc. Both nonlinear and linearized versions of the model are compared to experimental data. Possibilities for model order reduction are substantiated.

Original language	English (US)
Pages (from-to)	3111-3116
Number of pages	6
Journal	Proceedings of the American Control Conference
Volume	4
DOIs	https://doi.org/10.1109/acc.2002.1025267
State	Published - 2002
Externally published	Yes
Event	2002 American Control Conference - Anchorage, AK, United States Duration: May 8 2002 → May 10 2002

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title = "Control-oriented modeling and analysis of automotive transcritical AC system dynamics",

abstract = "This paper presents a dynamic model of a transcritical air-conditioning system, specifically suited for multivariable controller design. The physically based model retains sufficient detail to accurately predict system dynamic response while also being simple enough to be of value in determining appropriate control strategies. The control focus would be quasi-steady transitions between operating states by modulating flow rates of both air and refrigerant to meet changing constraints on capacity, efficiency, noise, etc. Both nonlinear and linearized versions of the model are compared to experimental data. Possibilities for model order reduction are substantiated.",

author = "Bryan Rasmussen and Andrew Alleyne and Clark Bullard and Pega Hrnjak and Norman Miller",

year = "2002",

doi = "10.1109/acc.2002.1025267",

language = "English (US)",

volume = "4",

pages = "3111--3116",

journal = "Proceedings of the American Control Conference",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2002 American Control Conference ; Conference date: 08-05-2002 Through 10-05-2002",

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AU - Rasmussen, Bryan

AU - Alleyne, Andrew

AU - Bullard, Clark

AU - Hrnjak, Pega

AU - Miller, Norman

PY - 2002

Y1 - 2002

N2 - This paper presents a dynamic model of a transcritical air-conditioning system, specifically suited for multivariable controller design. The physically based model retains sufficient detail to accurately predict system dynamic response while also being simple enough to be of value in determining appropriate control strategies. The control focus would be quasi-steady transitions between operating states by modulating flow rates of both air and refrigerant to meet changing constraints on capacity, efficiency, noise, etc. Both nonlinear and linearized versions of the model are compared to experimental data. Possibilities for model order reduction are substantiated.

AB - This paper presents a dynamic model of a transcritical air-conditioning system, specifically suited for multivariable controller design. The physically based model retains sufficient detail to accurately predict system dynamic response while also being simple enough to be of value in determining appropriate control strategies. The control focus would be quasi-steady transitions between operating states by modulating flow rates of both air and refrigerant to meet changing constraints on capacity, efficiency, noise, etc. Both nonlinear and linearized versions of the model are compared to experimental data. Possibilities for model order reduction are substantiated.

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DO - 10.1109/acc.2002.1025267

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SP - 3111

EP - 3116

JO - Proceedings of the American Control Conference

JF - Proceedings of the American Control Conference

T2 - 2002 American Control Conference

Y2 - 8 May 2002 through 10 May 2002

ER -

Control-oriented modeling and analysis of automotive transcritical AC system dynamics

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