TY - JOUR
T1 - Dynamical Graph Models of Aircraft Electrical, Thermal, and Turbomachinery Components
AU - Williams, Matthew A.
AU - Koeln, Justin P.
AU - Pangborn, Herschel C.
AU - Allenye, Andrew G.
N1 - Funding Information:
• National Science Foundation (Grant No. DGE-1144245 and Agreement No. EEC-1449548).
Publisher Copyright:
Copyright © 2018 by ASME.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2018/4/1
Y1 - 2018/4/1
N2 - The current trend of electrification in modern aircraft has driven a need to design and control onboard power systems that are capable of meeting strict performance requirements while maximizing overall system efficiency. Model-based control provides the opportunity to meet the increased demands on system performance, but the development of a suitable model can be a difficult and time-consuming task. Due to the strong coupling between systems, control-oriented models should capture the underlying physical behavior regardless of energy domain or time-scale. This paper seeks to simplify the process of identifying a suitable control-oriented model by defining a scalable and broadly applicable approach to generating graph-based models of thermal, electrical, and turbomachinery aircraft components and systems. Subsequently, the process of assembling component graphs into a dynamical system graph that integrates multiple energy domains is shown. A sample electrical and thermal management system is used to demonstrate the capability of a graph model at matching the complex dynamics exhibited by nonlinear and empirically based simulation models.
AB - The current trend of electrification in modern aircraft has driven a need to design and control onboard power systems that are capable of meeting strict performance requirements while maximizing overall system efficiency. Model-based control provides the opportunity to meet the increased demands on system performance, but the development of a suitable model can be a difficult and time-consuming task. Due to the strong coupling between systems, control-oriented models should capture the underlying physical behavior regardless of energy domain or time-scale. This paper seeks to simplify the process of identifying a suitable control-oriented model by defining a scalable and broadly applicable approach to generating graph-based models of thermal, electrical, and turbomachinery aircraft components and systems. Subsequently, the process of assembling component graphs into a dynamical system graph that integrates multiple energy domains is shown. A sample electrical and thermal management system is used to demonstrate the capability of a graph model at matching the complex dynamics exhibited by nonlinear and empirically based simulation models.
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U2 - 10.1115/1.4038341
DO - 10.1115/1.4038341
M3 - Article
AN - SCOPUS:85039169170
VL - 140
JO - Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME
JF - Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME
SN - 0022-0434
IS - 4
M1 - 0410131
ER -