飞机燃油测量传感器优化布局技术

袁梅; 何一强; 董韶鹏; 牛奔

doi:10.13700/j.bh.1001-5965.2014.0745

飞机燃油测量传感器优化布局技术

doi: 10.13700/j.bh.1001-5965.2014.0745

袁梅^1,2, ,,
何一强^1,3,
董韶鹏¹,
牛奔^1,3

1.
北京航空航天大学自动化科学与电气工程学院, 北京 100191
2. 先进航空发动机协同创新中心, 北京 100191
3. 北京航空航天大学航空科学与技术国家实验室, 北京 100191

详细信息

通讯作者:
袁梅(1967-),女,江苏泰州人,副教授,yuanm@buaa.edu.cn,主要研究方向为检测技术及自动化装置、计算机测控系统、先进传感技术、虚拟仪器技术、复杂系统健康监测技术.

中图分类号: TP29;V228.1
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出版历程
- 收稿日期: 2014-12-01
- 修回日期: 2014-12-26
- 网络出版日期: 2015-11-20

Aircraft fuel measurement sensor optimal layout technology

YUAN Mei^{1,2
, ,},
HE Yiqiang^1,3,
DONG Shaopeng¹,
NIU Ben^1,3

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

摘要

摘要: 实时、准确地测量出飞机各油箱的剩余油量,对飞机飞行安全十分重要.为了提高飞机燃油的测量精度,设计了一种基于粒子群算法(PSO)的燃油测量传感器优化布局方法.首先,引入燃油实体的概念,建立了某机翼复杂、带隔断多腔油箱CAD模型及箱内燃油实体模型;其次,基于Unigraphics NX(UG)二次开发,完成了飞机不同姿态下、复杂不规则多腔油箱燃油体积的解算;再次,提出了飞机油箱最大燃油可测区(LMR)的概念,并以此作为优化目标进行传感器优化布局;最后,引入可设置边界距离因子(BDF),解决了传感器布局时与油箱壁距离过近的问题.结果表明,该方法实现了多根燃油传感器的布局,可以不受油箱形状和大小的限制,有效避开了油箱内部的干涉区域,保证不同飞行姿态下油量测量的连续性,并使得飞机燃油的可测范围达到较高水平.
- 飞机燃油测量 /
- 飞机油箱建模 /
- 燃油传感器优化布局 /
- 燃油体积解算 /
- 粒子群算法(PSO)
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.
- aircraft fuel measurement /
- aircraft fuel tanks modeling /
- fuel sensor optimal layout /
- fuel volume solver /
- particle swarm optimization (PSO)

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参考文献(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).