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research-article

Experimental Validation of Graph-Based Hierarchical Control for Thermal Management

[+] Author and Article Information
Herschel Pangborn

Mechanical Science and Engineering Department, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA
pangbor2@illinois.edu

Justin Koeln

Department of Mechanical Engineering, University of Texas at Dallas, Richardson, TX 75080 USA
justin.koeln@utdallas.edu

Matthew Williams

Northrop Grumman Corporation, Falls Church, VA 22042 USA
matt.a.williams@ngc.com

Andrew Alleyne

Mechanical Science and Engineering Department, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA
alleyne@illinois.edu

1Corresponding author.

ASME doi:10.1115/1.4040211 History: Received September 11, 2017; Revised May 01, 2018

Abstract

This paper proposes and experimentally validates a hierarchical control framework for fluid flow systems performing thermal management in mobile energy platforms. A graph-based modeling approach derived from the conservation of mass and energy inherently captures coupling within and between physical domains. Hydrodynamic and thermodynamic graph-based models are experimentally validated on a thermal fluid testbed. A scalable hierarchical control framework using the graph-based models with Model Predictive Control is proposed to manage the multi-domain and multi-timescale dynamics of thermal management systems. The proposed hierarchical control framework is compared to decentralized and centralized benchmark controllers and found to maintain temperature bounds better while using less electrical energy for actuation.

Copyright (c) 2018 by ASME
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