Advanced Search
Volume 41 Issue 11
Nov.  2015
Turn off MathJax
Article Contents
Journal of Beijing University of Aeronautics and Astronautics  > 2015  >  41(11): 2036-2043.
YUAN Mei, HE Yiqiang, DONG Shaopeng, et al. Aircraft fuel measurement sensor optimal layout technology[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(11): 2036-2043. doi: 10.13700/j.bh.1001-5965.2014.0745(in Chinese)
Citation: YUAN Mei, HE Yiqiang, DONG Shaopeng, et al. Aircraft fuel measurement sensor optimal layout technology[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(11): 2036-2043. doi: 10.13700/j.bh.1001-5965.2014.0745(in Chinese)
shu

Aircraft fuel measurement sensor optimal layout technology

doi: 10.13700/j.bh.1001-5965.2014.0745
  • 1.

    School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • 2. Collaborative Innovation Center for Advanced Aero-Engine, Beijing 100191, China

  • 3. Aviation Science and Technology National Laboratory, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • Received Date: 01 Dec 2014
  • Rev Recd Date: 26 Dec 2014
  • Publish Date: 20 Nov 2015
    Abstract
  • It is very important for aircraft flight safety to accurately measure the remaining fuel in each fuel tank in real time. An aircraft fuel measurement sensor optimal layout method based on particle swarm optimization (PSO) was designed to improve aircraft fuel measurement accuracy. Firstly, the concept of the fuel entity was proposed, and two models were built including the complex wing fuel tank CAD model which had multi-chamber with inner clapboards and the fuel entity model in fuel tank. Secondly, the total fuel volumes of complex and irregular multi-chamber tanks were calculated at different aircraft attitudes based on the second development of Unigraphics NX (UG). Thirdly, the concept of the largest measurement range (LMR) of the aircraft fuel tanks was put forward, which was used as the goal to optimize the sensor layout. Finally, the boundary distance factor (BDF) was introduced to avoid settling the sensor too close to the fuel tank wall. The results show that the method can optimize the layout of several fuel sensors without being limited by the shape and size of the fuel tank, which can effectively avoid interference in the internal area of the tank, ensure fuel measurement continuity at different aircraft attitudes, and make the aircraft fuel measurable range reach a higher level.

     

    • FullText(HTML)
  • loading
    • References(20)
  • [1]
    袁梅,吴昊,张建.采用CAD技术对飞机燃油测量进行姿态误差修正[J].北京航空航天大学学报, 2002, 28(1):119-121. Yuan M, Wu H, Zhang J.Fuel measurement with attitude error correction by using CAD technique[J].Journal of Beijing University of Aeronautics and Astronautics, 2002, 28(1):119-121(in Chinese).
    [2]
    袁梅,林柯,崔德刚.飞机燃油油量测量及姿态误差修正方法[J].航空计测技术, 2001, 21(1):24-26. Yuan M, Lin K, Cui D G.Attitude error correction method of measurement of aircraft fuel[J].Aviation Metrology & Measurement Technology, 2001, 21(1):24-26(in Chinese).
    [3]
    段福宽,揭裕文,许应虎,等.飞机燃油系统油量计算与误差分析[J].南京航空航天大学学报, 2005, 37(6):811-815. Duan F K, Jie Y W, Xu Y H, et al.Aircraft fuel calculation and attitude error analysis[J].Journal of Nanjing University of Aeronautics and Astronautics, 2005, 37(6):811-815(in Chinese).
    [4]
    单宝峰,张广涛,李景春,等.航空油量测量技术研究及其发展现状[J].自动化仪表, 2013, 34(4):32-37. Shan B F, Zhang G T, Li J C, et al.Research on the measurement technology for aviation fuel volume and its current developing status[J].Automation Instrument, 2013, 34(4):32-37(in Chinese).
    [5]
    周伟,王卉,王澍.飞机燃油油量测量传感器优化布局研究[J].科技信息, 2012(4):406-407. Zhou W, Wang H, Wang S.The study on aircraft fuel quantity measurement sensor layout optimization[J].Technology Information, 2012(4):406-407(in Chinese).
    [6]
    关丽,陈行禄.飞机油量传感器布局设计的CAD方法的研究[J].北京航空航天大学学报, 1997, 23(6):783-787. Guan L, Chen X L.The study on the CAD method of aircraft fuel sensors layout design[J].Journal of Beijing University of Aeronautics and Astronautics, 1997, 23(6):783-787(in Chinese).
    [7]
    李明.遗传算法的改进及其在优化问题中的应用研究[D].长春:吉林大学, 2004. Li M.The study on improved genetic algorithm and its application in optimization questions[D].Changchun:Jilin University, 2004(in Chinese).
    [8]
    Rabelo L C, Walker M G.Probe placement using genetic algorithm analysis:United States, 600604[P].1999-12-28.
    [9]
    Zakrzewski R R.Fuel volume measurement in aircraft using neural networks[C]//Proceedings of the International Joint Conference on Neural Networks.Piscataway, NJ:IEEE Press, 2001, 1:687-692.
    [10]
    Zakrzewski R R.Fuel mass estimation in aircraft tanks using neural nets[C]//Proceedings of the IEEE Conference on Decision and Control.Piscataway, NJ:IEEE Press, 2001, 4:3728-3733.
    [11]
    Woodbury T, Srivastava A N.Analysis of virtual sensors for predicting aircraft fuel consumption[C]//AIAA Infotech at Aerospace Conference and Exhibit 2012.Reston:AIAA, 2012:2414-2449.
    [12]
    Langton R, Clark C, Hewitt M.Aircraft fuel systems[M].New York:John Wiley & Sons Ltd, 2009:137-176.
    [13]
    张利军.民用飞机燃油传感器优化布局技术研究[D].北京:北京航空航天大学, 2011. Zhang L J.Research on method of optimized layout of civil aircraft fuel sensors[D].Beijing:Beijing University of Aeronautics and Astronautics, 2011(in Chinese).
    [14]
    吕美茜,韩斌.数字技术在飞机燃油测量中的应用与试验[J].测控技术, 2011, 30(11):107-113. Lv M Q, Han B.Application and test of digital technique in aircraft fuel measurement system[J].Measurement and Control Technology, 2011, 30(11):107-113(in Chinese).
    [15]
    吴森堂,费玉华.飞行控制系统[M].北京:北京航空航天大学出版社, 2005:8-13. Wu S T, Fei Y H.Flight control system[M].Beijing:Beihang University Press, 2005:8-13(in Chinese).
    [16]
    苏三买,常伟,王卉.飞机油箱燃油量体积特性计算与油量测量仿真[J].计算机测量与控制, 2011, 19(9):2091-2094. Su S M, Chang W, Wang H.Aircraft fuel tank volume characteristic database establishing and fuel quantity measurement simulation[J].Computer Measurement & Control, 2011, 19(9):2091-2094(in Chinese).
    [17]
    徐玉杰.粒子群算法的改进及应用[D].南京:南京师范大学, 2013. Xu Y J.The improvement and application of particle swarm optimization[D].Nanjing:Nanjing Normal University, 2013(in Chinese).
    [18]
    Wang X R, Mathews G, Price D, et al.Optimizing sensor layouts for direct measurement of discrete variables[C]//3rd IEEE International Conference on Self-Adaptive and Self-Organizing Systems.Piscataway, NJ:IEEE Press, 2009:92-102.
    [19]
    Gao N, Qu Z H.Modified particle swarm optimization based algorithm for BP neural network for measuring aircraft remaining fuel volume[C]//Proceedings of the 31st Chinese Control Conference(CCC).Piscataway, NJ:IEEE Press, 2012:3398-3401.
    [20]
    纪震,廖惠连,吴青华.粒子群算法及应用[M].北京:科学出版社, 2009:16-21. Ji Z, Liao H L, Wu Q H.Particle swarm optimization and its application[M].Beijing:Science Press, 2009:16-21(in Chinese).
    • 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(953) PDF downloads(598) 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@buaa.edu.cn

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

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return