| 基于傅立叶基神经网络的传感器非线性补偿方法 |
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| 引用本文： | 徐理英,何怡刚.基于傅立叶基神经网络的传感器非线性补偿方法[J].湖南师范大学自然科学学报,2009,32(2). |
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| 作者姓名： | 徐理英 何怡刚 |
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| 作者单位： | 1. 长沙理工大学电气与信息工程学院,中国,长沙,410076
2. 湖南大学电气与信息工程学院,中国,长沙,410082 |
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| 基金项目： | 国家自然科学基金，湖南省科技厅科研项目 |
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| 摘 要： | 针对热敏电阻温度传感器应用中存在的非线性问题,提出了以神经网络为补偿环节,结合传感器构成的一种非线性补偿模型.基本思想是采用傅立叶基神经网络,以传感器的输出作为神经网络的输入样本,传感器的输入温度为神经网络的期望输出,通过调整神经网络权值使神经网络的输出与期望值近似,实现温度测量的非线性补偿.结果表明该方法有效提高了精度,是一种有效的传感器非线性补偿方法.
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| 关 键 词： | 非线性补偿 神经网络 傅立叶函数 |
The Compensate Method of Nonlinearity Transducer Based on Neural Network with Fourier Functions |
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| XU Li-ying,HE Yi-gang.The Compensate Method of Nonlinearity Transducer Based on Neural Network with Fourier Functions[J].Journal of Natural Science of Hunan Normal University,2009,32(2). |
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| Authors: | XU Li-ying HE Yi-gang |
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| Institution: | 1.Changsha University of Science and Technology;Changsha 410076;China;2.College of Electrical and Information Engineering;Hunan University;Changsha 410082;China |
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| Abstract: | Aiming at the non-linearity of thermistor temperature transducer, a compensate model based on neural network (NN) is proposed in this paper. The basic idea is to using Fourier series as the basic functions of NN,using the output of transducer as input samples of NN and the temperature as the expectation output of NN. The output of NN is used to approximate to the measured temperature by adjusting the weights. The results show that the proposed method is effective and valuable in engineering practice. |
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| Keywords: | non-liner compensate neural network Fourier functions |
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