Volume 39 Issue 6
Jun.  2013
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Dong Dezhi, Wang Jiangyun, Zhang Pinget al. Simulation model validation based on OMLHD method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, (6): 766-770. (in Chinese)
Citation: Dong Dezhi, Wang Jiangyun, Zhang Pinget al. Simulation model validation based on OMLHD method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, (6): 766-770. (in Chinese)

Simulation model validation based on OMLHD method

  • Received Date: 19 Jun 2012
  • Publish Date: 30 Jun 2013
  • When simulation factors are numerous while real-world observed data are sparse, the issue of validating the simulation models is problematic. An extreme case was focused that limited real-world observations were available cross the factor space, and only a single replicate was obtained on per simulation factor setting. A method based on orthogonal-maximin Latin hypercube designs (OMLHD) was proposed by which the validation experiments could be well arranged across the factor space through optimal design. The p-value test and the inverse cumulative distribution function(CDF) theorem were introduced to evaluate the statistical consistency of the simulation/observation data, and combine the analysis results to make an overall validation study on the entire factor space. An example of validation of a guided missile simulation was taken, which demonstrates that the method is useful.

     

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