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 proceedingConference contribution

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 languageEnglish (US)
Title of host publication2016 American Control Conference, ACC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages563-568
Number of pages6
ISBN (Electronic)9781467386821
DOIs
StatePublished - Jul 28 2016
Event2016 American Control Conference, ACC 2016 - Boston, United States
Duration: Jul 6 2016Jul 8 2016

Publication series

NameProceedings of the American Control Conference
Volume2016-July
ISSN (Print)0743-1619

Other

Other2016 American Control Conference, ACC 2016
CountryUnited States
CityBoston
Period7/6/167/8/16

Fingerprint

Model predictive control
Compressors
Compaction
Vapors
Thermal load
Aircraft
Controllers
Actuators
Cooling
Air

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

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). [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 proceedingConference 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
Williams MA, Alleyne AG, Hencey BM. Hybrid model predictive control of multi-compressor vapor compression systems. In 2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 563-568. 7524973. (Proceedings of the American Control Conference). https://doi.org/10.1109/ACC.2016.7524973
Williams, Matthew A. ; Alleyne, Andrew G. ; Hencey, Brandon M. / Hybrid model predictive control of multi-compressor vapor compression systems. 2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 563-568 (Proceedings of the American Control Conference).
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