摘要
将一种改进了的BP神经网络算法应用于飞机压力加油系统容错控制中,进行了仿真和实验,并对仿真结果进行了分析,仿真结果表明,加入BP算法以后的压力加油控制律大大缩短了加油时间,并且提高了压力加油的控制精度,此项研究为开发基于神经网络的飞机燃油故障诊断专家系统奠定基础。
A reformative BP arithmetic is used in reconfiguration control of the aircraft pressure refueling system. The simulation results show that this arithmetic has shortened the refueling time and improved the pressure refueling control precision. Artificial neural network model combining with expert knowledge is put forward and used to diagnose the fuel system.
出处
《航空精密制造技术》
2007年第3期57-59,62,共4页
Aviation Precision Manufacturing Technology
关键词
飞机压力加油系统
故障诊断
容错控制
神经网络
专家系统
aircraft pressure refueling system
fault diagnosis
reconfiguration control
artificial neural network
expert system
