| 压力传感器的支持向量机非线性回归建模 |
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| 引用本文： | 强生杰,孔令刚.压力传感器的支持向量机非线性回归建模[J].传感器与微系统,2012,31(4):50-52. |
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| 作者姓名： | 强生杰 孔令刚 |
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| 作者单位： | 兰州交通大学光电技术与智能控制教育部重点实验室,甘肃兰州730070;兰州交通大学国家绿色镀膜技术与装备工程技术研究中心,甘肃兰州730070 |
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| 基金项目： | 甘肃省科技重大专项基金资助项目(1002GKDA004);国家中小企业创新基金资助项目(10C26226205326) |
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| 摘 要： | 压力传感器的输出特性易受到环境因素,尤其是温度变化的影响。针对该问题,提出了利用支持向量机(SVM)对压力传感器输出特性进行非线性补偿的校正模型。校正模型利用SVM的回归算法来逼近非线性函数的特点,通过建立压力传感器输出特性与其实际电压值之间非线性映射关系的校正模型来实现压力传感器的校正。实例表明:该方法能有效地减少温度变化对传感器输出的影响,且校正后的压力传感器具有更高的测量精度和温度稳定性。
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| 关 键 词： | 压力传感器 支持向量机 非线性回归 |
A nonlinear regression model of pressure sensor based on SVM |
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| QIANG Sheng-jie
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KONG Ling-gang.A nonlinear regression model of pressure sensor based on SVM[J].Transducer and Microsystem Technology,2012,31(4):50-52. |
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| Authors: | QIANG Sheng-jie KONG Ling-gang |
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| Affiliation: | 1,2(1.Key Laboratory of Opto-electronics Technology and Intelligent Control of Ministry of Education, Lanzhou Jiao Tong University,Lanzhou 730070,China;2.National Green Coating Technology and Equipment Engineering Technology Research Center,Lanzhou Jiao Tong University,Lanzhou 730070,China) |
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| Abstract: | The output characteristics of pressure sensor affected by environmental factors,especially temperature changes.In order to solve this problem,a nonlinear regression model is presented based on support vector machine(SVM).The approximate ability of the SVM to nonlinear function is utilized to build the nonlinear regression correction model.A nonlinear mapping relation between sensor output and the actual voltage values is established to achieve the correction of pressure sensor.The experimental results show that the model can decrease the correction of the temperature changes effectively,while both the measurement precision and temperature stability are improved. |
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| Keywords: | pressure sensor support vector machine(SVM) nonlinear regression |
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