|本期目录/Table of Contents|

[1]周艳平,丁纪祥,胡乃平.一种基于Kalman滤波的组合式温度传感器的研究[J].工业仪表与自动化装置,2016,(05):109-112.
　ZHOU Yanping,DING Jixiang,HU Naiping.Research on the combined temperature sensor based on Kalman filtering algorithm[J].Industrial Instrumentation & Automation,2016,(05):109-112.
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一种基于Kalman滤波的组合式温度传感器的研究(PDF)

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2016年05期
页码:
109-112
栏目:
出版日期:
2016-10-15

文章信息/Info

Title:
Research on the combined temperature sensor based on Kalman filtering algorithm
文章编号:
1000-0682（2016）05-0000-00
作者:
周艳平; 丁纪祥; 胡乃平
（青岛科技大学 信息科学技术学院，山东 青岛 266061）
Author(s):
ZHOU Yanping;  DING Jixiang;  HU Naiping
(College of Information Science and Technology, Qingdao University of Science and Technology, Shandong Qingdao 266061, China)
关键词:
组合式传感器; 温度测量;  Kalman滤波
Keywords:
the combined sensor;  temperature measurement;  Kalman filtering
分类号:
TP212
DOI:
-
文献标志码:
A
摘要:
该文研究了一种基于Kalman滤波算法的组合式温度传感器。根据铂电阻和半导体热敏电阻在温度测量中的不同特性，设计了一种组合式温度传感器，并利用Kalman滤波算法进行综合数据处理。提出了基于Kalman滤波算法的组 合式温度传感器模型，给出了静态测量和动态测量两种情况下的kalman滤波算法步骤，分析了Kalman滤波算法的参数设置。实验结果表明，该组合式温度传感器可有效提高测量结果的准确性和灵敏度。
Abstract:
This paper researches a combined temperature sensor based on kalman filtering algorithm. According to the different characteristics of the platinum resistance and semiconductor thermistor in the temperature measurement, a combined temperature sensor is designed, and the Kalman filter algorithm is used to process the data. The combined temperature sensor model based on Kalman filtering algorithm is proposed, and the steps of Kalman filtering algorithm in two cases of static measurement and dynamic measurement are given. The parameter setting of Kalman filtering algorithm is analyzed. Test results show that the combined temperature sensor can effectively improve the accuracy and sensitivity of the measurement results.

参考文献/References:

[1] P R Childs, J R Greenwood, C A Long. Review of temperature measurement[J]. Review of Scientific Instruments, 2000, 71(8):2959-2972.

[2] 夏伟强,樊尚春.传感器技术发展的新进展[J].计测技术, 2009,29 (4): 1-4.
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[5] 胡向东.传感器与检测技术[M].2版. 2013.
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[7] 张天恒,王阳阳,武亮.基于多传感器组合的环面蜗杆误差检测仪设计[J].传感器与微系统, 2015, 34(10):66-68.
[8] H J Chen, W P Huang, S Qing. A Silicon Semiconductor Temperature Sensor Applied for RFID Tag [J]. Advanced Materials Research, 2015, 1082: 541-546.
[9] R E Kalman. A New Approach to Linear Filtering and Predication Problems[J].Transaction of the ASME- Journal of Basic Engineering, 1960, 82(1):35-45.
[10] K Y You, N Xiao, L H Xie. Kalman Filtering with Scheduled Measurements[J]. IEEE Transactions on Signal Processing, 2012, 61(6): 1520-1530.
[11] 陈战平.估计噪声方差与Kalman滤波的传感器动态补偿[J].南京师范大学学报(工程技术版), 2011, 11(3): 13-17.
[12] E Kwiatkowski, J Mandel. Convergence of the Square Root Ensemble Kalman Filter in the Large Ensemble Limit[J]. SIAM/ASA Journal on Uncertainty Quantification, 2014, 3(1):1-17.

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备注/Memo

备注/Memo:
收稿日期：2015-12-30
基金项目：山东省自然科学基金项目(ZR2014FL019)；山东省高等学校科技计划项目(J14LN31)；青岛市科技计划基础研究项目(13-1-4-125-jch)；绿色轮胎与橡胶协同创新中心开放课题(2014GTR0020）
作者简介：周艳平(1976)，男，山东临沂人，副教授，主要研究领域为计算机集成制造技术。
更新日期/Last Update: 1900-01-01