TY - GEN
T1 - Graph-based hierarchical control of thermal-fluid power flow systems
AU - Pangborn, Herschel C.
AU - Williams, Matthew A.
AU - Koeln, Justin P.
AU - Alleyne, Andrew G.
N1 - Funding Information:
This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant Number DGE-1144245, the National Science Foundation Engineering Research Center for Power Optimization of Electro-Thermal Systems (POETS) with cooperative agreement EEC-1449548, and the Air Force Research Laboratory.
Publisher Copyright:
© 2017 American Automatic Control Council (AACC).
PY - 2017/6/29
Y1 - 2017/6/29
N2 - 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.
AB - 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.
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U2 - 10.23919/ACC.2017.7963262
DO - 10.23919/ACC.2017.7963262
M3 - Conference contribution
AN - SCOPUS:85027031471
T3 - Proceedings of the American Control Conference
SP - 2099
EP - 2105
BT - 2017 American Control Conference, ACC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 American Control Conference, ACC 2017
Y2 - 24 May 2017 through 26 May 2017
ER -