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基于BADA模型的飞机持续爬升运行减噪效果研究 被引量:6

Noise Abatement of Continuous Climb Operation Based on BADA
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摘要 随着中国民航业的快速发展,机场周边噪声污染不断加剧,改进飞行程序来缓解噪声影响因其研究周期短、应用性强等特点,成为当前研究热点.本文概述了CCO的定义、特点,分析其飞行剖面,简述了基于BADA的航空器性能模型和机场噪声评估模型;并以广州白云机场VIBOS离场方向为例,运用MATLAB编程计算噪声并绘制噪声等值线图,从噪声影响时间、面积及区域形状等方面对比传统离场程序和CCO离场程序的噪声影响效果.结果表明:CCO离场程序可有效减少噪声影响时间,且在高噪声等级下降噪效果更佳;CCO离场程序可有效减少噪声影响面积;CCO离场程序可改变噪声等值线形状. With the rapid development of China's civil aviation, noise pollution around the airport is growing. Low noise flight program is an advanced research hotspot because it is easier to develop and apply to practice. In this paper, the definition, characteristic and flight profile of CCO are summarized, and BADA-based trajectory prediction model and airport noise evaluation model are analyzed as well. The departure procedure in Guangzhou Baiyun International Airport is chosen to provide basic date to calculate noise level and draw the noise counters with help of MATLAB. The noise effects of traditional procedure and CCO-based procedure are compared from noise area, noise influence time and noise region shape. Compared with traditional procedure, the CCO-based procedure can reduce the noise influence time, especially in the high noise level. At the same time, the CCO-based procedure can effectively reduce the noise area and affect the noise region shape.
出处 《交通运输系统工程与信息》 EI CSCD 北大核心 2017年第4期201-206,227,共7页 Journal of Transportation Systems Engineering and Information Technology
基金 国家自然科学基金(71401072 71201082) 中央高校基本科研业务费专项资金(NS2015068) 江苏省研究生培养创新工程(SJLX16_0118) 研究生创新基地(实验室)开放基金(kfjj20160702)~~
关键词 航空运输 减噪 离场程序 持续爬升运行 BADA模型 机场噪声评估模型 air transportation noise reduction departure procedure continuous climb operation BADA model airport noise evaluation model
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  • 1刘洲,蔡良才,陈黎明,邵斌,魏海亮,桂小渝.飞机噪声预测与仿真技术研究[J].噪声与振动控制,2013,33(1):77-82. 被引量:6
  • 2刘炳权.谈谈机场运行的减噪声程序[J].中国民用航空,2006(3):57-61. 被引量:3
  • 3RUIZ S, PIERA M, POZO I. A medium term conflict detection and resolution system for terminal maneuvering area based on spatial data and 4D trajectories[J]. Transportation Research: Part C, 2013, 26 : 396-417.
  • 4HANCERLIOGULLARI G, RABADI G, AL-SALEM A H, et al. Greedy algorithms and metaheuristics for a multiple runway combined arrival-departure aircraft sequencing problem[J]. Journal of Air Transport Management, 2013, 32: 39-48.
  • 5ZuNIGA C A, PIERA M A, RUIZ S. A CD&CR causal model based on path shortening/path stretching techniques[ J ]. Transportation Research : Part C, 2013, 33: 238-256.
  • 6SCHROEDER J A. A perspective on NASA Ames air traffic management research[ C ] // 9th AIAA Aviation Technology, Integration, and Operations Conference (ATIO). [S.l. ] : AIAA, 2009: 7054-1-7054-16.
  • 7BAR-SHALOM Y, LI X R. Estimation with applications to tracking and navigation: theory algorithms and software[ M]. [ S. l. ] : John Wiley Sons, Inc., 2001 : 466-476.
  • 8HWANG I. Air traffic surveillance and control using hybrid estimation and protocol-based conflict resolution [ D ]. Stanford : Stanford University, 2003.
  • 9SEAH C E, HWANG I. State estimation for stochastic linear hybrid systems with continuous-state-dependent transitions: an IMM approach[J]. IEEE Transactions on Aerospace and Electronics Systems, 2009, 45 ( 1 ) : 376-392.
  • 10SEAH C E, HWANG I. Algorithm for performance analysis of the IMM algorithm[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47 ( 2 ) : 1114-1124.

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