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Metamodelling of multivariable engine models for real-time flight simulation.

机译:用于实时飞行仿真的多变量发动机模型的元建模。

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摘要

Sophisticated real-time distributed flight simulation environments may be constructed from a wide range of modelling and simulation tools. In this way accuracy, detail and model flexibility may be incorporated into the simulator. Distributed components may be constructed by a wide range of methods, from high level environments such as Matlab, through coded environments such as C or Fortran to hardware-in-the- loop. In this paper the Response Surface Methodology is combined with a hyper-heuristic (evolutionary algorithm) and applied to the representation of computationally intensive non-linear multivariable engine modelling. The paper investigates the potential for metamodelling (models of models) dynamic models which were previously too slow to be included in multi-component, high resolution real-time simulation environments. A multi-dimensional gas turbine model with five primary control inputs, six environmental inputs and eleven outputs is considered. An investigation has been conducted to ascertain to what extent these systems can be approximated by response surfaces with experiments which have been designed by hyper-heuristics as a first step towards automatic modelling methodology.
机译:可以通过各种建模和仿真工具来构建复杂的实时分布式飞行仿真环境。以这种方式,可以将准确性,细节和模型灵活性结合到模拟器中。从高级环境(例如Matlab)到编码环境(例如C或Fortran)再到硬件在环,可以通过多种方法来构造分布式组件。在本文中,响应面方法与超启发式算法(进化算法)相结合,并应用于计算密集型非线性多变量发动机建模的表示。本文研究了元建模(模型模型)动态模型的潜力,该模型以前太慢而无法包含在多组件,高分辨率实时仿真环境中。考虑具有五个主要控制输入,六个环境输入和十一个输出的多维燃气轮机模型。已经进行了调查,以确定响应系统可以在多大程度上近似这些系统,而这些实验是由超启发式方法设计的,是迈向自动建模方法的第一步。

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