计算机与数字工程2023，Vol.51Issue(11)：2752-2757,6.DOI:10.3969/j.issn.1672-9722.2023.11.050
基于MEA-BP的NTC热敏电阻温度传感器非线性补偿研究
Research on Nonlinear Compensation of NTC Thermistor Temperature Sensor Based on MEA-BP
摘要
Abstract
As a commonly used temperature sensor,thermistor's resistance-temperature characteristics are nonlinear.Howev-er,its resistance to temperature is nonlinear,and there is a certain nonlinear error in engineering actual temperature measurement,and its accuracy is low.In this paper,NTC thermistor temperature sensor is used as the research object.In view of its nonlinear prob-lems,the nonlinear compensation of NTC thermistor temperature sensor is realized by optimizing BP neural network model through MEA(Mind Evolutionary Algorithm).The related methods and research results of temperature sensor compensation are briefly intro-duced,the resistance temperature characteristics and working principle of the thermistor are analyzed,the MEA-BP model con-struction,compensation principle and method are introduced,five evaluation criteria are used to compare the traditional RBF and BP neural network models.The results show that the compensation model is better than traditional RBF and BP neural network in each evaluation index,and has the advantages of better compensation accuracy and stronger stability,and has certain practical val-ue in many fields such as observe and control,military project and aviation.关键词
NTC热敏电阻/思维进化算法/非线性补偿/MEA-BPKey words
NTC thermistor/mind evolutionary algorithm/nonlinear compensation/MEA-BP分类
计算机与自动化引用本文复制引用
徐振耀,陈德智,路达,刘金国..基于MEA-BP的NTC热敏电阻温度传感器非线性补偿研究[J].计算机与数字工程,2023,51(11):2752-2757,6.基金项目
国家自然科学基金项目(编号:51775541)资助. （编号:51775541）
