一种基于Kalman滤波算法的组合式温度传感器的研究

Research on the combined temperature sensor based on Kalman filtering algorithm

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。

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.