摘要
介绍了以超低功耗单片机MSP430为核心的高精度压力传感器的硬件电路设计,针对压力传感器的温度漂移问题分析了用于温度补偿的BP网络算法,通过单片机对MPM280压力传感器的温度和压力信号采集,构造4层BP神经网络进行离线训练,将训练好的网络模型利用C语言完成编程,研究了单片机软件实现方式。结果表明:利用MSP430单片机减少了系统功耗,其丰富外设减小了传感器体积,利用单片机对传感器的温度和压力A/D采样值离线训练减少了信号误差,利用BP网络算法提高了传感器的精度,传感器的精度为0.1%。
The high smart pressure sensor＇s hardware-circuit design which based on uhra-low power MSP430 MCU was introduced. The BP network algorithm in temperature compensation caused by the pressure sensor＇ s temperature drift was analyzed, and the collected values of MPM280＇ s temperature and pressure signals with MCU were used in 4-layer BP network for oflline training. The suited network module was expressed by C language program ; the software-implemented method was analyzed. The result shows that the MSP430 MCU can reduce system power and its rich exterior equipments can reduce the size of pressure sensor,the direct training of BP network by use of digital A/D value of MCU conversion reduces the error, the pressure sensor＇ s precision is improved by BP network, the precision is 0. 1%.
出处
《仪表技术与传感器》
CSCD
北大核心
2010年第1期32-35,共4页
Instrument Technique and Sensor
