兵工自动化2016，Vol.35Issue(3)：31-34,4.DOI:10.7690/bgzdh.2016.03.008
基于BP神经网络的风洞传感器非线性误差修正方法
Nonlinear Error Correction Method of Wind Tunnel Sensor Based on BP Neural Network
张鹏 1杨兴锐 1严翔 1殷造林 1李燕君1
作者信息
- 1. 中国空气动力研究与发展中心高速所,四川 绵阳 621000
- 折叠
摘要
Abstract
Aiming at the problem that sensor measurement value is disturbed by the nonlinear error in wind tunnel test, a nonlinear error correction method about wind tunnel sensor measurement value is proposed based on BP neural network. Based on BP neural network nonlinear mapping ability, uses the neural network model fuse sensor adjust data to calculate sensor measurement error, then adjust the sensor value according to network calculation error. The test results reveal that this method can effectively reduce the influence of nonlinear error of sensor measurement value and improve the measuring accuracy of the sensor.关键词
BP神经网络/风洞传感器/误差修正Key words
BP neural network/wind tunnel sensor/errors correction分类
信息技术与安全科学引用本文复制引用
张鹏,杨兴锐,严翔,殷造林,李燕君..基于BP神经网络的风洞传感器非线性误差修正方法[J].兵工自动化,2016,35(3):31-34,4.
