TY - JOUR
T1 - Aircraft fuel measurement sensor optimal layout technology
AU - Yuan, Mei
AU - He, Yiqiang
AU - Dong, Shaopeng
AU - Niu, Ben
N1 - Publisher Copyright:
© 2015, Beijing University of Aeronautics and Astronautics (BUAA). All right reserved.
PY - 2015/11/1
Y1 - 2015/11/1
N2 - 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.
AB - 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.
KW - Aircraft fuel measurement
KW - Aircraft fuel tanks modeling
KW - Fuel sensor optimal layout
KW - Fuel volume solver
KW - Particle swarm optimization (PSO)
UR - https://www.scopus.com/pages/publications/84949561430
U2 - 10.13700/j.bh.1001-5965.2014.0745
DO - 10.13700/j.bh.1001-5965.2014.0745
M3 - 文章
AN - SCOPUS:84949561430
SN - 1001-5965
VL - 41
SP - 2036
EP - 2043
JO - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
JF - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
IS - 11
ER -