Research on Optimization of Aircraft Climb Trajectory considering Environmental Impact

被引:5
|
作者
Liu, Fangzi [1 ,2 ]
Hu, Minghua [1 ]
Lv, Wenying [1 ]
Zhang, Honghai [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Civil Aviat, Nanjing 211106, Peoples R China
[2] Air Traff Management Bur Civil Aviat Adm China, Beijing 100000, Peoples R China
基金
国家重点研发计划;
关键词
Environmental impact - Air traffic control - Vehicle performance - Fuels - Air transportation - Civil aviation - Genetic algorithms - Sustainable development - Environmental management;
D O I
10.1155/2021/6677329
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Trajectory-based operation is a new technology that will be developed in the next generation of air traffic management. In order to clarify the optimization space of fuel consumption and emission impact on the environment under the specific operation limitation of air traffic management in the process of aircraft climb, an aircraft climb performance parameter optimization model considering the environmental impact is established. First, the horizontal and vertical climb models are established for the aircraft climb process, and then the optimization objectives are constructed by considering the impact of fuel consumption, exhaust emissions on air temperature, and the convenience of the flight process. Finally, the multiobjective model is solved by genetic algorithm. The B737-800 civil aviation aircraft is selected for simulation experiment to analyze the impact of speed change on the optimization target. The results show that with the change of speed, the fuel consumption and temperature rise are different, and the climb performance parameters of the aircraft are affected by the maximum RTA. By optimizing the flight parameters of the aircraft, it can effectively reduce the impact of flight on the environment and provide theoretical support for the sustainable development of civil aviation.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Optimization of Aircraft Climb Trajectory considering Environmental Impact under RTA Constraints
    Wan, Junqiang
    Zhang, Honghai
    Liu, Fangzi
    Lv, Wenying
    Zhao, Yifei
    JOURNAL OF ADVANCED TRANSPORTATION, 2020, 2020
  • [2] SINGULAR TRAJECTORY OPTIMIZATION FOR SUPERSONIC AIRCRAFT CLIMB
    SURIN, VP
    IZVESTIYA VYSSHIKH UCHEBNYKH ZAVEDENII AVIATSIONAYA TEKHNIKA, 1989, (01): : 101 - 103
  • [3] Research on the Combination Optimization Method of Aircraft Climb Parameters Considering the Influence of Pollution Emissions
    Wang Na
    Wei Zhiqiang
    Han Xiaolan
    JOURNAL OF ADVANCED TRANSPORTATION, 2022, 2022
  • [4] Research on Climb Performance and 4D Trajectory Prediction of Aircraft
    Zhang, Xiaoyan
    Han, Yunxiang
    2013 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND APPLICATIONS (CSA), 2013, : 390 - 393
  • [5] Aircraft Climb Trajectory Prediction Using Neural Network
    Chen, MingQiang
    MECHATRONICS, ROBOTICS AND AUTOMATION, PTS 1-3, 2013, 373-375 : 1247 - 1250
  • [6] Aircraft optimization for minimal environmental impact
    Antoine, NE
    Kroo, IM
    JOURNAL OF AIRCRAFT, 2004, 41 (04): : 790 - 797
  • [7] Considering the Environmental Impact of PracticeBased Research
    Webel, Ben
    Villalobos, Gabriela
    Rockwell, Michelle S.
    Huffstetler, Alison
    Britz, Jacqueline B.
    Brooks, E. Marshall
    Krist, Alex H.
    JOURNAL OF THE AMERICAN BOARD OF FAMILY MEDICINE, 2024, 37 (01) : 22 - 24
  • [8] Optimization of projectile state and trajectory of reentry body considering attainment of carrying aircraft
    Changsheng Gao
    Chunwang Jiang
    Wuxing Jing
    JournalofSystemsEngineeringandElectronics, 2017, 28 (01) : 137 - 144
  • [9] Multidisciplinary Optimization of Unmanned Aircraft Considering Radar Signature, Sensors, and Trajectory Constraints
    Papageorgiou, Athanasios
    Tarkian, Mehdi
    Amadori, Kristian
    Olvander, Johan
    JOURNAL OF AIRCRAFT, 2018, 55 (04): : 1629 - 1640
  • [10] Optimization of projectile state and trajectory of reentry body considering attainment of carrying aircraft
    Gao, Changsheng
    Jiang, Chunwang
    Jing, Wuxing
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2017, 28 (01) : 137 - 144