Paper
19 May 2005 Cross-platform distributed heterogeneous simulation of a more-electric aircraft power system
C. E. Lucas, E. A. Walters, O. Wasynczuk, P. T. Lamm
Author Affiliations +
Abstract
To support research and analysis requirements in the development of future power systems, a flexible and efficient means of predicting the dynamic performance of large-scale multi-disciplinary systems prior to hardware trials is crucial. With the development of Distributed Heterogeneous Simulation (DHS), the technology now exists to enable this type of investigation. Previously, DHS was shown to allow the interconnection of component simulations running on a single- or distributed-computer network and developed using any combination of a variety of commercial-off-the-shelf (COTS) software packages for the Microsoft Windows operating system. However, for large-scale systems, all subsystem models may not be developed in software packages operating under Windows thereby requiring a translation of such models in order to incorporate them within a system simulation. In this paper, the DHS technique is expanded to support the UNIX operating system, thus, allowing subsystem models developed and executed on either UNIX- or Windows-based computers to be interconnected to form a dynamic system simulation. For the purpose of demonstration, a more-electric fighter (MEF) power system, such as that found on the Joint Strike Fighter (JSF), has been selected as a study system. This system is comprised of ten component models each developed using MATLAB/Simulink, EASY5, or ACSL. Utilizing the system simulation, studies have been performed to illustrate the dynamic interactions between the subsystems when simulated on a heterogeneous computer network containing both Windows- and Unix-based machines.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
C. E. Lucas, E. A. Walters, O. Wasynczuk, and P. T. Lamm "Cross-platform distributed heterogeneous simulation of a more-electric aircraft power system", Proc. SPIE 5805, Enabling Technologies for Simulation Science IX, (19 May 2005); https://doi.org/10.1117/12.603833
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Cited by 8 scholarly publications.
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KEYWORDS
Computer simulations

Computing systems

Systems modeling

Operating systems

Analytical research

Software development

Sun

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