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Proceedings Paper

Communication interval selection in distributed heterogeneous simulation of large-scale dynamical systems
Author(s): Charles E. Lucas; Eric A. Walters; Juri Jatskevich; Oleg Wasynczuk; Peter T. Lamm
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Paper Abstract

In this paper, a new technique useful for the numerical simulation of large-scale systems is presented. This approach enables the overall system simulation to be formed by the dynamic interconnection of the various interdependent simulations, each representing a specific component or subsystem such as control, electrical, mechanical, hydraulic, or thermal. Each simulation may be developed separately using possibly different commercial-off-the-shelf simulation programs thereby allowing the most suitable language or tool to be used based on the design/analysis needs. These subsystems communicate the required interface variables at specific time intervals. A discussion concerning the selection of appropriate communication intervals is presented herein. For the purpose of demonstration, this technique is applied to a detailed simulation of a representative aircraft power system, such as that found on the Joint Strike Fighter (JSF). This system is comprised of ten component models each developed using MATLAB/Simulink, EASY5, or ACSL. When the ten component simulations were distributed across just four personal computers (PCs), a greater than 15-fold improvement in simulation speed (compared to the single-computer implementation) was achieved.

Paper Details

Date Published: 4 September 2003
PDF: 12 pages
Proc. SPIE 5091, Enabling Technologies for Simulation Science VII, (4 September 2003); doi: 10.1117/12.500173
Show Author Affiliations
Charles E. Lucas, PC Krause and Associates, Inc. (United States)
Eric A. Walters, PC Krause and Associates, Inc. (United States)
Juri Jatskevich, PC Krause and Associates, Inc. (United States)
Oleg Wasynczuk, PC Krause and Associates, Inc. (United States)
Peter T. Lamm, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 5091:
Enabling Technologies for Simulation Science VII
Alex F. Sisti; Dawn A. Trevisani, Editor(s)

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