| 基于递归神经网络的热电偶测温滞后的动态补偿 |
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| 引用本文： | 刘刚. 基于递归神经网络的热电偶测温滞后的动态补偿[J]. 传感器与微系统, 2006, 25(11): 38-40 |
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| 作者姓名： | 刘刚 |
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| 作者单位： | 江西师范大学,物理与通信电子学院,江西,南昌,330022 |
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| 摘 要： | 提出了一种基于递归神经网络的热电偶测温滞后的动态补偿方法,利用神经网络良好的非线性映射能力,建立传感器的动态逆模型,实现对传感器的动态补偿。实验结果表明:检测信号经过动态补偿后,能够克服传感器的测量滞后,达到稳态的时间从补偿前的26 s缩短到大约5 s,传感器的动态性能得到较大的提高。
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| 关 键 词： | 温度传感器 递归神经网络 动态补偿 |
| 文章编号： | 1000-9787（2006）11-0038-03 |
| 收稿时间： | 2006-05-22 |
| 修稿时间： | 2006-05-22 |
Dynamic compensation of thermcouple''''s measurement lagging based on recurrent neural network |
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| LIU Gang. Dynamic compensation of thermcouple''''s measurement lagging based on recurrent neural network[J]. Transducer and Microsystem Technology, 2006, 25(11): 38-40 |
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| Authors: | LIU Gang |
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| Abstract: | The method of dynamic compensation based on recurrent neural network to correct the thermocouple temperature sensor's error is introduced and the dynamic compensation of temperature sensor is realized by building sensor's dynamic inverse modle.The experimental results show that the measurement lagging of sensor can be overcome,the time reaching to stable performance can be decreased from 26 s to 5 s and the dynamic performance can be improved after dynamic compensation. |
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| Keywords: | temperature sensor recurrent neural network dynamic compensation |
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