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Effectiveness of adaptive flight planning in the occurrence of total loss of thrust due to bird strike.

机译:适应性飞行计划在因鸟击而导致推力完全丧失的情况下的有效性。

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摘要

As of today, more than 96 percent of air travelers are transported on twin-engine jets. Although contemporary twin-engine jets are more reliable and efficient than yesterday's three- and four-engine jets, they have reduced engine redundancy. A statistical analysis of the FAA Wildlife Strike Database shows that contemporary twin-engine jets are approximately 15 times more likely to undergo total loss of thrust in the event of a bird strike compared to yesterday's three- and four-engine jets. To address the total-loss-of-thrust emergency, quick reference handbooks are designed to enable speedy and successful recovery of at least one engine. Airliner type-rating programs assume that total loss of thrust culminates in at least one engine recovery. If an engine restart cannot be achieved in a real-life emergency, airline pilots are left with virtually no guidance on how to manage the emergency situation.;This dissertation hypothesizes that "an adaptive flight planner can significantly increase the odds of safe landing in the occurrence of total loss of thrust". The objective is to test the research hypothesis through a designed experiment. To construct the experimental conditions, the FAA Wildlife Strike Database is statistically analyzed, and the most hazardous bird strike conditions are identified in terms of engine failure. The findings show that engine failure due to bird strike is significantly most likely to occur during the initial climb out at a low altitude (i.e. below 5,000 ft AGL). Using the findings, five realistic bird strike scenarios are generated to be simulated in the designed experiment.;Next, an adaptive flight planner is architecturally designed for the two best-selling commercial jets: the Airbus A320-200 and Boeing 737-800. The function of the adaptive flight planner is to compute the optimum landing trajectory in the occurrence of total loss of thrust, and then to guide the flight crew over the optimum trajectory using standard oral ATC commands that are easy to interpret. However, the idea of engines-out landing trajectory optimization has not been developed for commercial jets due to the unavailability of aircraft-specific aerodynamic-coefficient data. To fill in this gap, a kinematic approach is adopted to develop a trajectory optimization algorithm, which is based on pure motion characteristics without making reference to the aerodynamic forces involved. The kinematic approach requires minimal amount of aircraft-specific aerodynamic data that can be effortlessly collected in a full flight simulator. Using the kinematic method, the adaptive flight planner is architecturally designed for the A320-200 and 737-800 aircraft, and its accuracy is verified through flight simulation tests.;Subsequently, the designed experiment is conducted with 12 type-rated pilots. Five total-loss-of-thrust scenarios are simulated in the A320-200 and 737-800 full flight simulators. For each scenario, the adaptive flight planning architecture is used to compute the optimum landing trajectory and the ATC commands for guiding the pilots over the optimum trajectory. Every scenario is simulated twice with each of the 12 pilots in command. First, the pilot in command is asked to attempt engines-out landing on a runway of his/ her own preference. Second, the pilot in command is guided with the air traffic control commands over the optimum landing trajectory. The outcomes are recorded as "success" if the pilot achieves safe touchdown on a runway, and "failure" otherwise. The results are analyzed using a generalized linear mixed model approach. The findings present strong evidence in favor of the research hypothesis that the adaptive flight planner can significantly increase the probability of safe touchdown in the occurrence of total loss of thrust. The results are synthesized into design recommendations which summarize the proposed application of the adaptive flight planning architecture.;This study is the first of its type to address commercial jets, and the findings can open the door for how commercial aircraft manufacturers address the total-loss-of-thrust hazard through innovative cockpit technologies.
机译:截止到今天,超过96%的航空旅行者是使用双引擎喷气机运输的。尽管现代双引擎喷气机比昨天的三引擎和四引擎喷气机更可靠,效率更高,但它们减少了引擎冗余。对FAA野生动物打击数据库的统计分析表明,与昨天的三引擎和四引擎飞机相比,当代双引擎飞机在发生鸟击时遭受总推力损失的可能性大约高15倍。为了解决总的推力损失紧急情况,设计了快速参考手册,可快速且成功地恢复至少一台发动机。客机类型定级程序假定推力的总损失在至少一种发动机恢复中达到顶点。如果在现实生活中紧急情况下无法实现发动机重启,航空公司飞行员实际上就如何处理紧急情况就没有任何指导。;本文假设,“自适应飞行计划器可以显着增加飞机安全着陆的几率。发生完全推力损失”。目的是通过设计的实验来检验研究假设。为了构建实验条件,对FAA野生动物打击数据库进行了统计分析,并根据发动机故障确定了最危险的鸟类打击条件。研究结果表明,由于鸟击而导致的发动机故障极有可能在低空(即低于5,000英尺AGL)的首次爬升过程中发生。利用这些发现,生成了五个现实的鸟击场景,并在设计的实验中进行了仿真。接下来,为两个最畅销的民用飞机:空中客车A320-200和波音737-800设计了自适应飞行计划器。自适应飞行计划器的功能是在发生全部推力损失时计算最佳着陆轨迹,然后使用易于解释的标准口头ATC命令引导机组人员越过最佳轨迹。但是,由于无法获得飞机专用的空气动力学系数数据,因此尚未为商用喷气机开发出发动机熄火着陆轨迹优化的想法。为了填补这一空白,采用了运动学方法来开发轨迹优化算法,该算法基于纯运动特性,而没有参考所涉及的空气动力。运动学方法需要最少的飞机特定空气动力学数据,可以在完整的飞行模拟器中毫不费力地收集这些数据。采用运动学方法,为A320-200和737-800飞机设计了适应性飞行计划器,并通过飞行模拟测试验证了其准确性;随后,设计的实验是由12名定型飞行员进行的。在A320-200和737-800全飞行模拟器中,模拟了五个总的推力损失情况。对于每种情况,自适应飞行计划架构均用于计算最佳着陆轨迹和ATC命令,以指导飞行员越过最佳轨迹。在12个飞行员的指挥下,每个场景都模拟了两次。首先,要求机长试着以自己的喜好尝试将引擎降落在跑道上。第二,指挥官在最佳着陆轨迹上受到空中交通管制命令的指导。如果飞行员在跑道上达到安全着陆,则结果记录为“成功”,否则记录为“失败”。使用广义线性混合模型方法分析结果。这些发现提供了强有力的证据支持研究假设,即适应性飞行计划器可以在发生推力完全丧失的情况下显着增加安全着陆的可能性。结果综合到设计建议中,总结了自适应飞行计划架构的拟议应用。;本研究是针对商用飞机的首次此类研究,其发现可为商用飞机制造商如何解决总损失打开大门通过创新的座舱技术避免发生倾覆危险。

著录项

  • 作者

    Avrenli, Kivanc A.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Statistics.;Civil engineering.;Aerospace engineering.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 274 p.
  • 总页数 274
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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