摘要
大气数据系统是重要的机载电子设备,其性能、精度直接关系到飞机的飞行安全。在介绍某型号飞机大气数据系统的软硬件体系结构的基础上,从三个方面深入研究了提高大气数据系统精度的途径:大气数据计算模型;基于BP神经网络的压力测量温度误差补偿方法;一种计算型静压源误差补偿方法。其大气数据系统系统性能稳定,结构紧凑,速度快,精度高,软硬件升级简单。试验证明其大气数据系统能很好满足某型号飞机的使用要求。
As the important equipment on plane, the performance and accuracy of Atmosphere Data System is vital to the safety of the plane. After the architectures of the hardware and software of Atmosphere Data System is introduced, Modeling of the Atmosphere Data, temperature compensation of surface acoustic ware pressure sensor based on BP neural network and a new method of static source error correction are deeply investigated and studied. Upon those, faster speed, high accuracy, simple hardware and software, better robustness are offered. The experiment shows that the design reaches the requirement of the plane.
出处
《火力与指挥控制》
CSCD
北大核心
2009年第8期162-166,共5页
Fire Control & Command Control
关键词
大气数据系统
BP神经网络
温度补偿
静压源误差
声表面波压力传感器
atmosphere data system, BP neural network, temperature compensation, static source error,surface acoustic wave pressure sensor
