传感技术学报2016，Vol.29Issue(11)：1698-1704,7.DOI:10.3969/j.issn.1004-1699.2016.11.012
QR分解与GLS改进算法在压力传感器动态性能改善中的应用
The Application of QR Decomposition and GLS Improved Algorithm in Improving the Dynamic Performance of Pressure Sensor
杨文杰 1张志杰 1李岩峰 1穆欣荣1
作者信息
- 1. 中北大学仪器科学与动态测试教育部重点试验室，太原030051
- 折叠
摘要
Abstract
Combining rectangular matrix orthogonal(QR)decomposition with improved least squares(GLS)algo⁃rithm ,the dynamic mathematical model of the sensor can be established and the dynamic performance of the sensor can be improved by utilizing zero-pole assignment theory. Firstly ,using the dynamic calibration test data of the pressure sensor to construct a rectangular data matrix ,the model order of sensor was determined by using the method of matrix orthogonal decomposition. Secondly ,the mathematical model of the sensor was established by using improved least squares algorithm. Lastly ,the performance of the sensor was improved by using the zero-pole assignment theory to reconfigure the zero-pole of the model. The experimental results show that the method is simple and the modeling precision is high. A mathematical model which reflecting the dynamic perfor⁃mance of the sensor can be obtained accurately and the dynamic performance of the sensor can be improved sig⁃nificantly.关键词
压力传感器/动态建模/正交分解/最小二乘/零极点Key words
pressure sensor/dynamic modeling/orthogonal decomposition/least square/zero-pole分类
信息技术与安全科学引用本文复制引用
杨文杰,张志杰,李岩峰,穆欣荣..QR分解与GLS改进算法在压力传感器动态性能改善中的应用[J].传感技术学报,2016,29(11):1698-1704,7.
