北京航空航天大学学报 ›› 2015, Vol. 41 ›› Issue (11): 2036-2043.doi: 10.13700/j.bh.1001-5965.2014.0745

• 论文 • 上一篇    下一篇

飞机燃油测量传感器优化布局技术

袁梅1,2, 何一强1,3, 董韶鹏1, 牛奔1,3   

  1. 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
  • 收稿日期:2014-12-01 修回日期:2014-12-26 出版日期:2015-11-20 发布日期:2015-12-01
  • 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. E-mail:uanm@buaa.edu.cn

Aircraft fuel measurement sensor optimal layout technology

YUAN Mei1,2, HE Yiqiang1,3, DONG Shaopeng1, NIU Ben1,3   

  1. 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:2014-12-01 Revised:2014-12-26 Online:2015-11-20 Published:2015-12-01

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.

关键词: 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.

Key words: aircraft fuel measurement, aircraft fuel tanks modeling, fuel sensor optimal layout, fuel volume solver, particle swarm optimization (PSO)

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