民用飞机飞行模拟机数据包试飞任务优化结合方法研究
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    摘要:

    飞行模拟机数据包试飞用于获取飞行模拟机研制及鉴定所需的试飞数据,涉及多项试飞科目。为提高试飞效率、降低试飞成本,针对飞行模拟机数据包试飞与型号试飞的优化结合方法进行了研究。通过分析飞行模拟机研制进度要求、型号试飞规划、型号构型到位计划,以及飞行模拟机数据包试飞和型号试飞各试飞科目的试飞要求等要素,分别在试飞科目分析阶段和试验点分析阶段提出了不同的优化结合原则,包括试飞方法相似原则、科目类别相似原则、前置试验满足原则及构型要求兼顾原则。并给出了直接结合、试验点连续结合、形态变换结合及架次结合四种优化结合方法,以及优化结合方法所适用的飞行模拟机数据包试飞阶段。该优化结合方法已在实际型号飞行模拟机数据包试飞任务规划中得到应用,起到了减少试飞任务量的作用。

    Abstract:

    Flight simulator data package flight test is used to obtain flight test data required for development and qualification of flight simulator, involving multiple flight test subjects. In order to improve the efficiency of flight test and reduce the cost of flight test, the optimization and combination method of flight simulator data package flight test and type flight test were studied. By analyzing requirements of the flight simulator development progress, type flight test plan, type configuration inplace plan, and flight test requirements and other elements of each flight test subject of flight simulator data package flight test and type flight test, different optimization and combination principles were proposed in the flight test subject analysis stage and flight test point analysis stage, including flight test method similarity principle, subject category similarity principle, and the principle of pretest meeting and the principle of considering configuration requirements. Four optimization and combination methods were given, which were namely direct combination, continuous combination of flight test points, configuration change combination and sortie combination. The flight test phase of flight simulator data package which was suitable for the optimized combination methods were given. The optimization and combination method presented in this paper has been applied in the flight test plan of the actual type flight simulator data package, which can reduce the quantity of flight test missions.

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郭之鑫.民用飞机飞行模拟机数据包试飞任务优化结合方法研究[J].民用飞机设计与研 究,2020(4):125-131GUO Zhixin.[J]. Civil Aircraft Design and Research,2020,(4):125-131. ( in Chinese)

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  • 在线发布日期: 2021-01-06
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