电测与仪表2016，Vol.53Issue(18)：107-112,123,7.
压力传感器的温度补偿研究及其应用
Research on the temperature compensation of pressure sensor and its application
摘要
Abstract
In order to solve the temperature drift problem when the pressure sensor measures , a high-performance sen-sor of pressure measurements suitable for compressed air system of rail car is developed in this paper .This paper pres-ents new piezoresistive pressure sensor temperature compensation model combining GA -PSO algorithm to optimize BP neural network , the feasibility of this model is verified by MATLAB simulation .The simulation results show that com-pared with the BP-LM algorithm and GA-BP algorithm , the convergence speed of the new optimization algorithm is fas-ter 89%, the absolute error value of prediction is under 2.5 kPa, and small-scale changes and meet the high perform-ance requirements of “fast , accurate and steady”.The device runs well on plant site , and the measurement pressure of compressed air system is about 750 kPa on the same day in different railcar running periods .关键词
温度补偿/压力传感器/BP神经网络/遗传算法/粒子群算法Key words
temperature compensation/pressure sensors/BP neural network/genetic algorithm/particle swarm opti-mization algorithm分类
信息技术与安全科学引用本文复制引用
李扬,刘明光,钱学成,陈佳,王昕..压力传感器的温度补偿研究及其应用[J].电测与仪表,2016,53(18):107-112,123,7.基金项目
中央高校基本科研业务费专项资金资助 （）
