Implement of nonlinearity correction for sensors based on SOPC

NI Xiao-yong; WANG Dian-hong; ZHANG Hong-jian

doi:10.13873/j.1000-97872008.01.021

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Implement of nonlinearity correction for sensors based on SOPC

更新时间：2025-09-11

- Implement of nonlinearity correction for sensors based on SOPC
- Issue 1, Pages: 22-24(2008)
- 作者机构：
  
  1. 中国地质大学机电学院
  2. 中国地质大学机电学院,湖北,武汉,430074
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872008.01.021
  CLC： TP212
- Published：2008
- 稿件说明：
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[1]倪效勇,王典洪,张红剑.基于SOPC技术的传感器非线性软件校正的实现[J].传感器与微系统,2008(01):22-24.

NI Xiao-yong, WANG Dian-hong, ZHANG Hong-jian. Implement of nonlinearity correction for sensors based on SOPC[J]. 2008, (1): 22-24.
[1]倪效勇,王典洪,张红剑.基于SOPC技术的传感器非线性软件校正的实现[J].传感器与微系统,2008(01):22-24. DOI： 10.13873/j.1000-97872008.01.021.

NI Xiao-yong, WANG Dian-hong, ZHANG Hong-jian. Implement of nonlinearity correction for sensors based on SOPC[J]. 2008, (1): 22-24. DOI： 10.13873/j.1000-97872008.01.021.

摘要

传感器非线性校正是测量系统设计的重要内容。以温度传感器AD590为研究目标

采用神经网络软件校正算法

重点研究基于SOPC技术的算法实现问题

并对影响算法性能的多个参数进行测试

测试结果证实了算法实现的可行性。

Abstract

Nonlinearity correction of sensors is important for measurement system design.Temperature sensor AD590 is selected for study.Neuron network software correction algorithm is adopted

the implement of algorithm based on SOPC technology is researched emphatically and the influence of parameters on the algorithm is tested.The test results prove its feasibility.

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Keywords

references

神经网络在校正传感器非线性度方面的研究 [J]. 黄天戍,倪效勇,张红剑,任清珍. 传感器技术 . 2003(12)

用遗传网络校正传感器非线性误差的研究 [J]. 刘清. 计算机应用 . 2002(12)

AD590温度传感器的非线性补偿及应用 [J]. 蒋敏兰,胡生清,幸国全. 传感器技术 . 2001(10)

SOPC技术实用教程[M]. 清华大学出版社 , 潘松,黄继业,曾毓编著, 2005

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