A novel method for pressure sensor temperature compensation

Sun Yanmei1; Liu Shudong2

doi:10.13756/j.gtxyj.2011.01.023

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A novel method for pressure sensor temperature compensation

- A novel method for pressure sensor temperature compensation
- Study on Optical communication Issue 1, Pages: 62-64(2011)
- 作者机构：
  
  1. 齐齐哈尔大学理学院大学物理教学与实验中心
  2. 齐齐哈尔大学通信与电子工程学院电子信息系
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2011.01.023
  CLC： TP212
- Published：2011，
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[1]孙艳梅,刘树东.压力传感器温度补偿的一种新方法[J].光通信研究,2011(01):62-64.

Sun Yanmei1, Liu Shudong2. A novel method for pressure sensor temperature compensation. [J]. (1):62-64(2011)
[1]孙艳梅,刘树东.压力传感器温度补偿的一种新方法[J].光通信研究,2011(01):62-64. DOI： 10.13756/j.gtxyj.2011.01.023.

Sun Yanmei1, Liu Shudong2. A novel method for pressure sensor temperature compensation. [J]. (1):62-64(2011) DOI： 10.13756/j.gtxyj.2011.01.023.

摘要

针对温度对硅压阻式压力传感器输出影响的问题

提出将主成分分析（PCA）与改进的反向传播（BP）神经网络相结合

用于压力传感器的温度补偿的新方法。利用PCA提取温度补偿的主要信息使多维问题得以简化

同时剔除了数据的噪声误差

且对BP神经网络进行了改进

以充分发挥其强大的泛化功能和容错能力。研究结果表明

该方法有效抑制了温度对压力传感器的影响

提高了传感器的稳定性和准确性。

Abstract

In view of the effects of temperature on silicon piezoresistive pressure sensor output

this paper proposes a novel method for pressure sensor temperature compensation by combining Principal Component Analysis（PCA） with improved BP neural networks.In this method

the prime information in temperature compensation is extracted by using PCA so that the multi-dimensional problem is simplified and the noise error in data eliminated and the neural network improved so as to bring its strong generalization and fault-tolerance capabilities into full play.The research results show that this method can restrain the effects of temperature on pressure sensors effectively and enhance their stability and accuracy.

关键词

温度补偿主成分分析神经网络传感器

Keywords

temperature compensationPCAneural networksensor

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School of Information Science and Technology, Southwest Jiaotong University

. School of Communication and Information Engineering; b. Key Laboratory of New Generation Broadband Mobile Communication Technology, Chongqing University of Posts and Telecommunication

Lab.of Optical Fiber Sensing and Communications, University of Electronic Science and Technology

School of Electronic Information and Communication, Huazhong University of Science and Technology

College of Electronic and Information Engineering, Suzhou University of Science and Technology

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