TY - JOUR
T1 - Hierarchical Control of Aircraft Electro-Thermal Systems
AU - Koeln, Justin P.
AU - Pangborn, Herschel C.
AU - Williams, Matthew A.
AU - Kawamura, Malia L.
AU - Alleyne, Andrew G.
N1 - Funding Information:
This work was supported in part by the National Science Foundation (NSF) Engineering Research Center (ERC) for Power Optimization of Electro-Thermal Systems (POETS) under Contract EEC-1449548, in part by the Center for Integrated Thermal Management of Aerospace Vehicles (CITMAV), in part by the Air Force Research Laboratory, and in part by the NSF Graduate Research Fellowship Program under Grant DGE-1144245.
Funding Information:
Manuscript received October 29, 2018; accepted February 25, 2019. Date of publication April 12, 2019; date of current version June 11, 2020. Manuscript received in final form March 11, 2019. This work was supported in part by the National Science Foundation (NSF) Engineering Research Center (ERC) for Power Optimization of Electro-Thermal Systems (POETS) under Contract EEC-1449548, in part by the Center for Integrated Thermal Management of Aerospace Vehicles (CITMAV), in part by the Air Force Research Laboratory, and in part by the NSF Graduate Research Fellowship Program under Grant DGE-1144245. Recommended by Associate Editor A. Serrani. (Corresponding author: Justin P. Koeln.) J. P. Koeln is with the Department of Mechanical Engineering, University of Texas at Dallas, Richardson, TX 75080 USA (e-mail: justin.koeln@utdallas.edu).
Publisher Copyright:
© 1993-2012 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - A hierarchical model predictive control (MPC) approach is developed for energy management of aircraft electro-thermal systems. High-power electrical systems on board modern and future aircraft perform a variety of mission- and flight-critical tasks, while thermal management systems actively cool these electronics to satisfy component-specific temperature constraints, ensuring safe and reliable operation. In this paper, coordination of these electrical and thermal systems is performed using a hierarchical control approach that decomposes the multi-energy domain, constrained optimization problem into smaller, more computationally efficient problems that can be solved in real-time. A hardware-in-the-loop (HIL) experimental testbed is used to evaluate the proposed hierarchical MPC in comparison to a baseline controller for a scaled, laboratory representation of an aircraft electro-thermal system. Experimental results demonstrate that the proposed approach outperforms the baseline controller across a range of electrical loading in terms of both efficient energy management and constraint satisfaction.
AB - A hierarchical model predictive control (MPC) approach is developed for energy management of aircraft electro-thermal systems. High-power electrical systems on board modern and future aircraft perform a variety of mission- and flight-critical tasks, while thermal management systems actively cool these electronics to satisfy component-specific temperature constraints, ensuring safe and reliable operation. In this paper, coordination of these electrical and thermal systems is performed using a hierarchical control approach that decomposes the multi-energy domain, constrained optimization problem into smaller, more computationally efficient problems that can be solved in real-time. A hardware-in-the-loop (HIL) experimental testbed is used to evaluate the proposed hierarchical MPC in comparison to a baseline controller for a scaled, laboratory representation of an aircraft electro-thermal system. Experimental results demonstrate that the proposed approach outperforms the baseline controller across a range of electrical loading in terms of both efficient energy management and constraint satisfaction.
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U2 - 10.1109/TCST.2019.2905221
DO - 10.1109/TCST.2019.2905221
M3 - Article
AN - SCOPUS:85082487493
SN - 1063-6536
VL - 28
SP - 1218
EP - 1232
JO - IEEE Transactions on Control Systems Technology
JF - IEEE Transactions on Control Systems Technology
IS - 4
M1 - 8689055
ER -