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Aircraft fuel measurement sensor optimal layout technology

  • Collaborative Innovation Center of Advanced Aero-Engine
  • Beihang University

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)2036-2043
Number of pages8
JournalBeijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
Volume41
Issue number11
DOIs
StatePublished - 1 Nov 2015

Keywords

  • Aircraft fuel measurement
  • Aircraft fuel tanks modeling
  • Fuel sensor optimal layout
  • Fuel volume solver
  • Particle swarm optimization (PSO)

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