Dynamical Graph Models of Aircraft Electrical, Thermal, and Turbomachinery Components
Author(s) -
Matthew Williams,
Justin P. Koeln,
Herschel C. Pangborn,
Andrew G. Alleyne
Publication year - 2017
Publication title -
journal of dynamic systems measurement and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.528
H-Index - 89
eISSN - 1528-9028
pISSN - 0022-0434
DOI - 10.1115/1.4038341
Subject(s) - computer science , scalability , component (thermodynamics) , graph , nonlinear system , control engineering , turbomachinery , distributed computing , engineering , aerospace engineering , theoretical computer science , physics , quantum mechanics , database , thermodynamics
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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