New tools simplify the development and simulation of models as well as the analysis and presentation of simulation results. The SLAM language allows the modeler to use network, discrete event and continuous modeling prospectives in any combination to describe the different parts of a system. The SDL database management system allows the modeler to collect simulation results, and at the same time to analyze and present these results independent of the simulation run. We applied SLAM and SDL in analyzing a package of experiments for the Space Shuttle. The SLAM model of the experimental package shows the utility of a combined network, discrete event, and continuous model. The SDL database illustrates the advantages of storing model run results, using the computer in comparing alternatives, defining and computing performance measures after simulation results are made, and generating reports and plots of model results in the database. The results of our analysis were also of interest. Only a limited amount shuttle resources could be used by the package of experiments. Thus, the simulation was used to determine the amount of memory needed for each experiment and for the microrpocessor, as well as the reasons for the transmission delay for data from each experiment.
Using SLAM and SDL to assess space shuttle experiments
Verwendung der SLAM-Simulationssprache und des SDL-Datenbankmanagementsystems bei Simulationen zum Space-Shuttle-Projekt
Simulation, La Jolla ; 41 , 1 ; 25-35
1983
11 Seiten, 7 Bilder, 3 Tabellen, 5 Quellen
Article (Journal)
English
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