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

3 Scopus citations


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.
Number of pages6
ISBN (Electronic)9781467386821
StatePublished - Jul 28 2016
Externally publishedYes
Event2016 American Control Conference, ACC 2016 - Boston, United States
Duration: Jul 6 2016Jul 8 2016

Publication series

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


Other2016 American Control Conference, ACC 2016
Country/TerritoryUnited States

Bibliographical note

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


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