Graph-based hierarchical control of thermal-fluid power flow systems

Herschel C. Pangborn, Matthew A. Williams, Justin P. Koeln, Andrew G. Alleyne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations


To meet the rising performance and efficiency demands on high performance thermal management systems, this paper proposes a hierarchical model-based control framework for thermal-fluid power flow systems. This hierarchy uses scalable graph-based dynamic models of the hydrodynamics and thermodynamics of these systems, derived from conservation of mass and conservation of thermal energy, respectively. Leveraging the inherent timescale separation between thermal and hydraulic dynamics, a three-layer control hierarchy is constructed. The use of Model Predictive Control (MPC) at each layer allows actuator and state constraints to be explicitly considered and allows preview of upcoming thermal disturbances to be used for optimization. In addition, the hierarchy has functionality to account for actuator dynamics, including rate limits and time delays. The proposed control approach is demonstrated in simulation on a system configuration that is notionally representative of a simplified aircraft fuel thermal management system.

Original languageEnglish (US)
Title of host publication2017 American Control Conference, ACC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)9781509059928
StatePublished - Jun 29 2017
Event2017 American Control Conference, ACC 2017 - Seattle, United States
Duration: May 24 2017May 26 2017

Publication series

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


Other2017 American Control Conference, ACC 2017
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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