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作 者:梁利平[1] 葛玉石 徐科军[1,2] 杨双龙[1] 许伟[1] 吴建平[1] Liang Liping;Ge Yushi;Xu Kejun;Yang Shuanglong;Xu Wei;Wu Jianping(School of Electrical and Automation Engineering,Hefei University of Technology,Hefei 230009,China;Engineering Technology Research Center of Industrial Automation,Hefei 230009,China)
机构地区:[1]合肥工业大学电气与自动化工程学院,合肥230009 [2]工业自动化安徽省工程技术研究中心,合肥230009
出 处:《电子测量与仪器学报》2018年第12期26-33,共8页Journal of Electronic Measurement and Instrumentation
基 金:中央高校基本科研业务费专项资金(JZ2018HGTA0218;JZ2018YYPY0294);安徽省自然科学基金(1708085QF132)资助项目
摘 要:低功耗缩进式电磁流量传感器在市政供水领域应用广泛,它的励磁磁路结构设计是提升传感器测量性能的重要环节。为了优化磁路结构、增强相同励磁条件的感应电动势值,首先对传感器的磁路结构和测量原理进行了理论分析,研究不同磁轭尺寸、铁芯尺寸和极板尺寸对感应电动势的影响。然后,以感应电动势数值为评价指标,获得低功耗缩进式电磁流量传感器磁路结构的优化参数。最后,搭建实验平台,使用优化磁路参数制作测量系统,与非优化磁路系统进行对比。结果表明,在小流速0.009~0.023 m/s时,优化磁路系统的测量误差优于±0.6%,非优化磁路系统的测量误差约为±2.5%。所以,磁路结构有效可靠。Low-power electromagnetic flow sensor with shrunk measurement tube is widely used in municipal water supply. The design of excitation magnetic circuit structure is an important step in improving measurement performance of sensor. In order to optimize the magnetic circuit structure and enhance the induced electromotive force value under same excitation condition,firstly,the magnetic circuit structure and the measuring principle of sensor is theoretically analyzed. Then the effects of different yoke size,core size and plate size on induction electromotive force are studied. With the induction electromotive force as an evaluation index,the optimization parameters of the magnetic circuit structure are obtained. Finally,the experiment platform is built,and the optimized magnetic circuit parameters are used to produce the measurement system,which is compared with the non-optimized magnetic circuit system. Results show that the measurement error of the optimized magnetic circuit system is better than ± 0. 6% at low flow velocity of 0. 009 to 0. 023 m/s. The measurement error of the non-optimized magnetic circuit system is about ± 2. 5%. Therefore,the magnetic circuit structure designed in this paper is effective and reliable.
分 类 号:TP212[自动化与计算机技术—检测技术与自动化装置]
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