| 基于神经网络的锥光全息测量系统校准技术研究 |
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| 引用本文： | 任淑艳,杨永刚,段海龙,李静.基于神经网络的锥光全息测量系统校准技术研究[J].电子测量与仪器学报,2010,24(7):616-620. |
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| 作者姓名： | 任淑艳 杨永刚 段海龙 李静 |
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| 作者单位： | 1. 天津职业技术师范大学天津市信息传感与智能控制重点实验室,天津,300222
2. 中国民航大学航空工程学院,天津,300222 |
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| 摘 要： | 为了解决锥光全息非接触式测量系统的输出非线性问题,提出采用三层BP神经网络方法来实现系统特性的非线性校准,充分利用神经网络自身具有的自学习和泛化能力,既避免了线性校准技术带来的原理误差,也避免了采用硬件校准方式的复杂性。大大降低了系统的测量误差,实验结果表明,校准前系统的最大测量误差为4.2μm,校准后的最大测量误差为1.5μm。
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| 关 键 词： | 锥光全息 非线性 误差 神经网络 |
Design and uncertainty analysis of non-contact measurement system based on conoscopic holography |
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| Ren Shuyan,Yang Yonggang,Duan Hailong,Li Jing.Design and uncertainty analysis of non-contact measurement system based on conoscopic holography[J].Journal of Electronic Measurement and Instrument,2010,24(7):616-620. |
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| Authors: | Ren Shuyan Yang Yonggang Duan Hailong Li Jing |
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| Affiliation: | Ren Shuyan1 Yang Yonggang2 Duan Hailong1 Li Jing1(1.TianJin Keylaboratory of Information Sensing&Intelligent Control,Tianjin University of Technology and Education,Tianjin 300222,China,2.Civil aviation of china,aviation engineering college,China) |
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| Abstract: | To eliminate the nonlinearity of conoscopic holography non-contact measurement system,the method of nonlinearity calibration based 3 layer BP ANN was proposed in this paper,which utilized ANN＇s ability of self-learning and generalization.It avoided the principle error of linearity calibration and complexity of calibration by hardwires.This method reduced measurement error of the system.From experiments,the maximal error before calibration is 4.2 μm and the maximal error after calibration is 1.5 μm. |
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| Keywords: | conoscopic holography nonlinearity error ANN |
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