基于支持向量机的压力传感器校正模型

A Correction Model of Pressure Sensor Based on Support Vector Machine

针对压力传感器输出特性受温度变化和电压波动影响的问题,提出了应用支持向量机对压力传感器输出特性进行非线性补偿的校正模型。校正模型利用支持向量机具有逼近任意非线性函数的特点,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,实现压力传感器非线性补偿校正。实验结果表明,最大相对波动从22.2%降为0.64%,能有效地消除温度和电压波动的影响,在校正模型的输出端得到期望的压力传感器输出特性。

In view of characteristics of pressure sensor affected by temperature changes and voltage fluctuation, a correction model of pressure sensor is presented based on Support Vector Machine. The approximate ability of the SVM to any nonlinear function is utilized to drill the correction model, so as to enable it to be setup at different temperatures and voltage fluctuation, thus allowing the sensor output to be in a nonlinear mapping relation to the voltage values the sensor actually sensed. The experimental results show that maximum relative fluctuation comes down from 22.2% to 0. 64% , and the model can not only eliminate the influence from temperature and voltage fluctuation, but also can obtain the expected linear output from the output terminal of correction model .