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针对运载火箭动力系统的性能评估,采用灰色关联分析模型有效解决了数据缺乏问题,并且利用层次分析法与离差最大化法组合确定指标权重,避免了使用单一赋权方法导致的主观性或者客观性不足的缺陷。最后,通过对国内外5种类型运载火箭的动力系统性能进行评估排序,对比数据结果表明,采用该方法能够对运载火箭动力系统性能进行合理的评估与排序,具有一定的应用价值。
Aimed at the performance evaluation of launch vehicle power system, the gray relational analysis model is used to solve the problem of data shortage effectively. The analytic hierarchy process (AHP) and maximum deviation method are used to determine the weight of indicators, avoiding the subjectivity or objectivity caused by using single weighting method Lack of sexual defects. Finally, the power systems performance of five types of launch vehicles at home and abroad are evaluated and compared. The results of the comparative data show that this method can be used to evaluate and rank the performance of the launch vehicle powertrain with reasonable value.