基于BP神经网络的智能压力传感器设计  

A Design of Smart Pressure Sensor Based on BP Neural Network

作　　者：张世英[1] 于玺兴[1] 朱杰堂[1] 

机构地区：[1]第二炮兵工程学院,西安710025

出　　处：《弹箭与制导学报》2010年第5期215-217,共3页Journal of Projectiles,Rockets,Missiles and Guidance

摘　　要：为满足航空发动机分布式控制系统的设计需求,提出了利用BP神经网络设计智能压力传感器的方法。首先,建立了该传感器的BP神经网络模型;然后,利用DS18B20和ATmega128设计出了硬件电路;最后,进行了该传感器的软件设计。实验结果表明,该智能压力传感器结构简单,线性化程度好,测量精度高,适用于航空发动机分布式控制系统。For the need of aeroengine distributed control system, a smart pressure sensor for aeroengine based on BP neural network was proposed. Firstly a model of BP neural network was built for the sensor. Then the hardware structure used by DS18B20 and ATmega128 was designed. Finally the sensor software was designed. Result of experimentation proves that the smart sensor has sample structure, great linearization and high measuring precision. So it can satisfy the need of aeroengine distributed control system.

关 键 词：分布式控制 智能压力传感器 BP神经网络 DS18B20 

分 类 号：V241.7[航空宇航科学与技术—飞行器设计]