Applying NASA IV&V Methodologies to Commercial Aircraft Flight Software

2020 ◽  
Author(s):  
Michael Rubin
2007 ◽  
Vol 10-12 ◽  
pp. 522-527 ◽  
Author(s):  
Pan Guo Qi ◽  
D.C. Cong ◽  
H.J. Jiang ◽  
Jun Wei Han

Flight simulator is a complex man-in-the-loop (MIL) simulation system. With several decades of development, it has already become important tools of aircraft design and development, and necessary means of pilot training. And simulation credibility and reliability of the flight simulator have been considerably improved in comparison with the past. However, the system of flight simulator has become increasingly complex and difficult to be described clearly. This paper presents the concepts of conceptual layer and achieving layer, analyzes the composition and principle of the commercial aircraft flight simulator for pilot training from the two layers, describes the system architecture in detail. According to the system architecture, three aspects are very important to develop the flight simulator, the first is the fidelity of the simulation models, the second is the performance of cueing devices, and the last are the computing capacity of the host computers and the time delay over the communication networks.


2007 ◽  
Vol 22 (5) ◽  
pp. 1132-1139 ◽  
Author(s):  
Barbara J. B. Stunder ◽  
Jerome L. Heffter ◽  
Roland R. Draxler

Abstract In support of aircraft flight safety operations, daily comparisons between modeled, hypothetical, volcanic ash plumes calculated with meteorological forecasts and analyses were made over a 1.5-yr period. The Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model simulated the ash transport and dispersion. Ash forecasts and analyses from seven volcanoes were studied. The volcanoes were chosen because of recent eruptions or because their airborne ash could impinge on well-traveled commercial aircraft flight paths. For each forecast–analysis pair, a statistic representing the degree of overlap, the threat score (TS), was calculated. A forecast was classified as acceptable if the TS was greater than 0.25. Each forecast was also categorized by two parameters: the forecast area quadrant with respect to the volcano and a factor related to the complexity of the meteorology. The forecast complexity factor was based on the degree of spread using NCEP ensemble output or using a HYSPLIT offset configuration. In general, the larger the spread of the ensemble or offset forecasts, the greater the complexity. The forecasts were sorted by complexity factor, and then classified by the quartile of the complexity. The volcanic ash forecast area reliability (VAFAR) was calculated for each forecast area quadrant and for each quartile of the complexity factor. VAFAR is the ratio of the number of acceptable forecasts to the total number of forecasts. Most VAFAR values were above 70%. VAFAR values for two of the seven volcanoes (Popocatepetl in Mexico and Tungurahua in Ecuador) tended to be lower than the others. In general, VAFAR decreased with increasing complexity of the meteorology. It should be noted that the VAFAR values reflect the reliability of the meteorological forecasts when compared to the same calculation using analysis data; the dispersion model itself was not evaluated.


1999 ◽  
Author(s):  
G. Kinnes ◽  
P. Jensen ◽  
K. Mead ◽  
D. Watkins ◽  
L. Smith ◽  
...  

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