A Pressure Sensor Calibration Model Based on Support Vector Machine

摘要：

This paper proposed a calibration model of pressure sensor based on Support Vector Machine (SVM). In practice, the output of the temperature and voltage pressure sensor is nonlinear and easy to be affected by temperature and voltage fluctuation over a wide measuring range. This model used the support vector machine can approach any nonlinear function ability. It established a calibration model with the actual voltage output characteristics and its nonlinear mapping relationship to achieve pressure sensor nonlinearity compensation. The results of experiments showed that the maximum of errors reduced to 0.64％ from 22.2％. It can eliminate the temperature and voltage fluctuation influence when obtaining expected linear output from the calibration model output terminal.

关键词： SVM pressure sensor compensation calibration model

作者: XIE Wenjun BAI Peng

作者单位: School of Automation, Northwestern Polytechnical University, Xian 710072, China Engineering Institu Engineering Institute, Air Force Engineering University, Xian 710038, China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 3251-3254

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）