CAJ | 학술논문

以试飞科目间总的过渡耗油、耗时最省为性能指标，应用基于生物界自然选择机制和自然遗传机制的遗传算法，对试飞科目的最优排序问题进行了研究。介绍了遗传算法应用于组合优化问题的基本原理和技术方法，根据试飞科目的最优排序问题的特点，构造了适当的适应度函数，对选择算子、交叉算子等进行了改进，充分利用了该算法的工程性强、应用范围广等特点。仿真计算所得结果表明,应用遗传算法合理安排试飞科目次序，可节省试飞耗油、耗时，减少试飞成本，提高试飞效率。
이시비과목간총적과도모유、모시최성위성능지표，응용기우생물계자연선택궤제화자연유전궤제적유전산법，대시비과목적최우배서문제진행료연구。개소료유전산법응용우조합우화문제적기본원리화기술방법，근거시비과목적최우배서문제적특점，구조료괄당적괄응도함수，대선택산자、교차산자등진행료개진，충분이용료해산법적공정성강、응용범위엄등특점。방진계산소득결과표명,응용유전산법합리안배시비과목차서，가절성시비모유、모시，감소시비성본，제고시비효솔。
With the criterion of the minimum fuel or the time used in transition maneuvers of flight test, this paper studies the optimal ordering problem of flight test maneuvers by genetic algorithm (GA), which is based on the mechanics of natural selection and genetics. The basic principle and technique of genetic algorithms on the optimal ordering problem are presented. In order to solve the specific optimal ordering problem of flight test maneuvers, it establishes the proper fitness function and improves the selection operator and cross operator of genetic algorithms. The advantages of GA, such as its engineering flexibility and extensive application range are utilized. The results showed that reasonably arranging the sequence of flight test maneuvers by GA can make best use of fuel and time available in flight test, then the cost is saved and the efficiency of flight test improved.