Dynamic System Modeling and Stability Assessment of an Aircraft Distribution Power System using Modelica and FMI

Stavros Konstantinopoulos, Hamed Nademi, Luigi Vanfretti

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this work, the electrical distribution system of a Boeing 747 aircraft is implemented in Modelica. The electrical system is modeled in detail as far as generation and loads are concerned, aiming to capture any relevant dynamics and instabilities that can ensue during the aircraft's operation; while the power electronic interfaces of the loads are represented using averaged models. Small signal analysis is conducted at different operating points, aiming to capture relevant dynamics. Additionally, small signal analysis and time domain simulations are carried out to identify operational regions where low damping of unstable oscillations can occur, in order to characterize control loops interactions and system states. Finally, this paper proposes countermeasures for load startup and required controls that can alleviate any potential instabilities.
Original languageEnglish (US)
Title of host publicationAIAA Propulsion and Energy 2020 Forum
PublisherAmerican Institute of Aeronautics and Astronautics
ISBN (Print)9781624106057
StatePublished - Aug 17 2020
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2022-06-30
Acknowledged KAUST grant number(s): OSR-2019-CoE-NEOM-4178.12
Acknowledgements: This work was supported in part by NASA under award number 80NSSC19M0125 as part of the Center for High-Efficiency Electrical Technologies for Aircraft (CHEETA), by the Engineering Research Center Program of the National Science Foundation and the Department of Energy under Award EEC-1041877, by the CURENT Industry Partnership Program, and by the Center of Excellence for NEOM Research at the King Abdullah University of Science and Technology under grant OSR-2019-CoE-NEOM-4178.12.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


Dive into the research topics of 'Dynamic System Modeling and Stability Assessment of an Aircraft Distribution Power System using Modelica and FMI'. Together they form a unique fingerprint.

Cite this