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中文摘要: 要提高声表面波压力传感器的测量精确度,温度补偿是主要难题。尽管目前有许多补偿方法,但其效果不
佳。采用软件方法进行温度补偿的研究在国内外已成热点,但选用神经网络对SAW压力传感器进行温度补偿尚
罕见报道。本文以CSF - 10 型SAW压力传感器为研究对象,通过理论分析和实验,得到了SAW压力传感器的温度
特性曲线,又经现场实际操作,BP 神经网络对SAW压力传感器温度补偿的效果良好,充分表明了应用神经网络在
提高声表面波测量精度方面是行之有效的方法。
Abstract:It is difficult for temperature compensation of SAW pressure sensors to improve their measure precision , In
spite of many temperature compensation method used , Ideal outcome hasn’t achieved ; . Despite the popular software
compensation , the neural network method aren’t used in this sensors. In this paper , the BP neural network method is
used for compensate the sensor’s temperature. The temperature curve of SAW pressure sensor is obtained by the theory
analysis and experiments result ; The outcome shows that this method is very effectual .
文章编号：cg030422 中图分类号： 文献标志码：
基金项目:
HE Peng2ju CHENG Ming MA Rong XU Hai2gang
Northwestern Polytechnical University , Xi′an 710072 , China
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