Self-calibration and algorithm of sample set of piezoresistive pressure sensors
Aiming at piezoresistive pressure sensors, this paper studies simulation of standard pressure by using benchmark current source and self-calibration of the sampling data characteristics. A data fusion algorithm for sample set is presented which transforms a surface problem into a curve fitting and interpolation problem. The simulation result shows that benchmark current source simulating pressure is successful and data fusion algorithm is effective. The maximum measurement error is only 0.098 kPa and maximum relative error is 0.92% at 0-45 kPa and -10-45℃.
pressure sensorconstant current sourcesampledata fusionself-calibration
黄晓因、晋芳伟、周平
展开 >
Department of Computer Science, Yunnan Agricultural University, Kunming 650201, P. R. China
Faculty of Engineering and Technology, Yunnan Agricultural University, Kunming 650201, P. R. China
Agricultural Meteorology Office, Yunnan Agricultural University, Kunming 650201, P. R. China
pressure sensor constant current source sample data fusion self-calibration
NETL
NSTL
万方数据
