Hybrid model predictive control of multi-compressor vapor compression systems

Matthew A. Williams; Andrew G. Alleyne; Brandon M. Hencey

doi:10.1109/ACC.2016.7524973

Hybrid model predictive control of multi-compressor vapor compression systems

Matthew A. Williams, Andrew G. Alleyne, Brandon M. Hencey

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

Increasing thermal loads in air vehicles has recently driven a need for more efficient cooling mechanisms and novel control techniques. As such, multi-compressor vapor compression systems are being considered for next generation aircraft to help mitigate the effects of large magnitude and highly transient thermal loads. The inclusion of these systems coupled with the transient environment in which they operate leads to the need for advanced control techniques to select operational modes and handle continuous actuation. This work develops a switched linear model framework that is used in a hybrid model predictive controller to determine the operational mode of the system, and continuous actuator set points. While this approach is applicable to a wide range of systems, a sample aircraft simulation study shows the advantage of the predictive controller over current logic-based control strategies.

Original language	English (US)
Title of host publication	2016 American Control Conference, ACC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	563-568
Number of pages	6
ISBN (Electronic)	9781467386821
DOIs	https://doi.org/10.1109/ACC.2016.7524973
State	Published - Jul 28 2016
Externally published	Yes
Event	2016 American Control Conference, ACC 2016 - Boston, United States Duration: Jul 6 2016 → Jul 8 2016

Publication series

Name	Proceedings of the American Control Conference
Volume	2016-July
ISSN (Print)	0743-1619

Other

Other	2016 American Control Conference, ACC 2016
Country/Territory	United States
City	Boston
Period	7/6/16 → 7/8/16

Bibliographical note

Publisher Copyright:
© 2016 American Automatic Control Council (AACC).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ACC.2016.7524973

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Williams, M. A., Alleyne, A. G., & Hencey, B. M. (2016). Hybrid model predictive control of multi-compressor vapor compression systems. In 2016 American Control Conference, ACC 2016 (pp. 563-568). Article 7524973 (Proceedings of the American Control Conference; Vol. 2016-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2016.7524973

Hybrid model predictive control of multi-compressor vapor compression systems. / Williams, Matthew A.; Alleyne, Andrew G.; Hencey, Brandon M.
2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 563-568 7524973 (Proceedings of the American Control Conference; Vol. 2016-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Williams, MA, Alleyne, AG & Hencey, BM 2016, Hybrid model predictive control of multi-compressor vapor compression systems. in 2016 American Control Conference, ACC 2016., 7524973, Proceedings of the American Control Conference, vol. 2016-July, Institute of Electrical and Electronics Engineers Inc., pp. 563-568, 2016 American Control Conference, ACC 2016, Boston, United States, 7/6/16. https://doi.org/10.1109/ACC.2016.7524973

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abstract = "Increasing thermal loads in air vehicles has recently driven a need for more efficient cooling mechanisms and novel control techniques. As such, multi-compressor vapor compression systems are being considered for next generation aircraft to help mitigate the effects of large magnitude and highly transient thermal loads. The inclusion of these systems coupled with the transient environment in which they operate leads to the need for advanced control techniques to select operational modes and handle continuous actuation. This work develops a switched linear model framework that is used in a hybrid model predictive controller to determine the operational mode of the system, and continuous actuator set points. While this approach is applicable to a wide range of systems, a sample aircraft simulation study shows the advantage of the predictive controller over current logic-based control strategies.",

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AB - Increasing thermal loads in air vehicles has recently driven a need for more efficient cooling mechanisms and novel control techniques. As such, multi-compressor vapor compression systems are being considered for next generation aircraft to help mitigate the effects of large magnitude and highly transient thermal loads. The inclusion of these systems coupled with the transient environment in which they operate leads to the need for advanced control techniques to select operational modes and handle continuous actuation. This work develops a switched linear model framework that is used in a hybrid model predictive controller to determine the operational mode of the system, and continuous actuator set points. While this approach is applicable to a wide range of systems, a sample aircraft simulation study shows the advantage of the predictive controller over current logic-based control strategies.

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Hybrid model predictive control of multi-compressor vapor compression systems

Abstract

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Bibliographical note

UN SDGs

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