The research of the pressure sensor temperature compensation based on PSO-BP algorithm

被引：0
作者：
Li, Qiang [1 ]
Zhou, Ke-Xin [1 ]
机构：
[1] School of Automation, Xi'an University of Technology, Xi'an, 710048, Shaanxi
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2015年 / 43卷 / 02期
关键词：
Compensating and correcting; Nonlinear changes; PSO-BP algorithm; Silicon pressure sensor;
D O I：
10.3969/j.issn.0372-2112.2015.02.032
中图分类号：
学科分类号：
摘要：
When silicon pressure sensor is used in industrial environments, particularly for measuring downhole pressure in deep oil-well, the ambient temperature range is always large. Because of its unique structure, the value of pressure output appears nonlinear changes, greatly reducing the measurement accuracy of pressure sensor. This article is based on PSO-BP neural network method used in pressure sensor compensating and correcting the error when temperature changes to reach the system accuracy requirements. The intention of PSO-BP algorithm is to improve the initial weights and screen the thresholds of BP neural network, then train the samples by using BP neural network in order to improve the generalization ability and stability of system. ©, 2015, Chinese Institute of Electronics. All right reserved.
引用
收藏
页码：412 / 416
页数：4
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