Advanced Search
Volume 41 Issue 3
Mar.  2015
Turn off MathJax
Article Contents
Journal of Beijing University of Aeronautics and Astronautics  > 2015  >  41(3): 443-448.
TAO Yang, HAN Wei. Carrier airwake simulation methods based on improved multi-objective genetic algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(3): 443-448. doi: 10.13700/j.bh.1001-5965.2014.0198(in Chinese)
Citation: TAO Yang, HAN Wei. Carrier airwake simulation methods based on improved multi-objective genetic algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(3): 443-448. doi: 10.13700/j.bh.1001-5965.2014.0198(in Chinese)
shu

Carrier airwake simulation methods based on improved multi-objective genetic algorithm

doi: 10.13700/j.bh.1001-5965.2014.0198
  • 1.

    Department of Airborne Vehicle Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China

  • 2. Naval Academy of Armament, Shanghai 200436, China

  • Received Date: 10 Apr 2014
  • Publish Date: 20 Mar 2015
    Abstract
  • A new numerical turbulence simulation method to enhance the credibility of simulation of carrier airwake free-air turbulence components has been presented. At first, the turbulence sequence of each direction was presented as the Euler forward different format with correction factors. Meanwhile, associated with the thought of intelligence algorithm, the mean squared error and correlation function error in turbulence correlation test were regarded as the optimized objective functions. And the selection of correction factors was treated as a multi-objective optimization problem. The correction factors were determined by improving multi-objective genetic algorithm. At last, the validity and rationality of this method were verified by simulation cases. The calculation results show that the required turbulence sequences can be generated flexibly with different sampling steps. Especially in case of some small sampling step, the simulated turbulence sequences fit the theoretical values very well, and the method can meet the requirement of virtual flight test.

     

    • FullText(HTML)
  • loading
    • References(17)
  • [1]
    Moorhouse D J, Woodcock R J.Background information and user guide for MIL-F-8785C,military specification-flying qualities of piloted airplanes,AD-A11942[R].1982.
    [2]
    胡国才, 王奇,刘湘一,等.舰尾流对舰载机着舰轨迹和动态响应的影响研究[J].飞行力学,2009,27(6):18-21. Hu G C,Wang Q,Liu X Y,et al.Influence of carrier airwake on carrier-based aircraft landing trajectory and dynamic response[J].Flight Dynamics,2009,27(6):18-21(in Chinese).
    [3]
    蒋康博, 刘超,袁东.近舰区风场建模与着舰仿真分析[J].飞行力学,2010,28(6):11-15. Jiang K B,Liu C Yuan D.Close-carrier-area wind field modeling and carrier-landing simulation analysis[J].Flight Dynamics,2010,28(6):11-15(in Chinese).
    [4]
    吕开东,李新飞, 姜迈,等.舰载机着舰过程的舰尾气流场数值仿真分析[J].飞行力学,2013,31(1):18-23. Lü K D,Li X F,Jiang M,et al.Simulation analysis on carrier landing disturbance model[J].Flight Dynamics,2013,31(1):18-23(in Chinese).
    [5]
    赵震炎,肖业伦, 施毅坚.Dryden大气紊流模型的数字仿真技术[J].航空学报,1986,7(5):433-443. Zhao Z Y,Xiao Y L,Shi Y J.A digital simulation technique for Dryden atmospheric turbulence model[J].Acta Aeronautica et Astronautica Sinica,1986,7(5):433-443(in Chinese).
    [6]
    屈香菊,李勇. 一种改进的紊流风模型及其仿真算法[J].系统仿真学报,2004,16(1):10-13. Qu X J,Li Y.An improved model of atmospheric turbulence and its simulation algorithm[J].Journal of System Simulation,2004,16(1):10-13(in Chinese).
    [7]
    马东立. 大气紊流数字仿真的改进方法[J].北京亚洲成人在线一二三四五六区学报,1990,16(3):57-63. Ma D L.An improvement of the digital simulation method for atmospheric turbulence[J].Journal of Beijing University of Aeronautics and Astronautics,1990,16(3):57-63(in Chinese).
    [8]
    吴扬,姜守达. 非质点飞行器模型的大气紊流仿真[J].沈阳工业大学学报,2010,32(1):22-26. Wu Y,Jiang S D.Simulation of atmospheric turbulence for non-particle aircraft model[J].Journal of Shenyang University of Technology,2010,32(1):22-26(in Chinese).
    [9]
    Reid L D. Correlation model for turbulence along the glide path[J].Journal of Aircraft,1978,15(1):13-20.
    [10]
    申晓宁,郭毓, 陈庆伟,等.一种保持群体多样性的多目标遗传算法[J].控制与决策,2008,23(12):1435-1440. Shen X N,Guo Y,Chen Q W,et al.Multi objective optimization genetic algorithm keeping diversity of population[J].Control and Decision,2008,23(12):1435-1440(in Chinese).
    [11]
    Schaffer J D. Multiple objective optimizations with vector evaluated genetic algorithms[C]//Proceedings of the 1st International Conference on Genetic Algorithms.New Jersey:Lawrence Erlbaum Associates,1985:93-100.
    [12]
    Fonseca C M. Multi-objective genetic algorithms with application to control engineering problems[D].UK:The University of Shefield,1995.
    [13]
    Horn J, Nafpliotis N,Goldberg D E.A niched pareto genetic algorithm for multi-objective optimization[C]//Proceedings of the 1st IEEE Conference on Evolutionary Computation.New York:IEEE,1994:82-87.
    [14]
    Srinivas N, Deb K.Multi-objective function optimization using non-dominated sorting genetic algorithms[J].Evolutionary Computation,1995,2(2):221-248.
    [15]
    Zitzler E, Thiele L.Multi-objective evolutionary algorithms: a comparative case study and the strength Pareto approach[J].IEEE Trans on Evolutionary Computation,1999,3(4):257-271.
    [16]
    Deb K, Pratap A,Agarwal R B.A fast and elitist multi-objective genetic algorithms:NSGA2[J].IEEE Transactions on Evolutionary Computation,2002,6(2):182-197.
    [17]
    Deb K, Agrawal R B.Simulated binary crossover for continuous search space[J].Complex Systems,1995,9(3):1-15.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views(1473) PDF downloads(636) Cited by()
    Proportional views
    Related

    Copyright © Journal of Beijing University of Aeronautics and Astronautics

    Address: Editorial Department of Journal of Beijing University of Aeronautics and Astronautics, 37 Xueyuan Road, Haidian District, Beijing Post Code: 100191 Email: jbuaa@cqjj8.com

    Supported by: Beijing Renhe Information Technology Co., Ltd.    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return