飞机燃油测量传感器优化布局技术

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.

Aircraft fuel measurement sensor optimal layout technology

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.