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基于射频导纳技术的变压器桥路原理电路。

The Transformer Bridge Principle Circuit Using RF Admittance Technology.

机构信息

College of Power Engineering, Naval University of Engineering, Wuhan 430030, China.

出版信息

Sensors (Basel). 2023 Jun 8;23(12):5434. doi: 10.3390/s23125434.

DOI:10.3390/s23125434
PMID:37420601
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10302334/
Abstract

To investigate the problem of the lag stability of the capacitance value during the level drop of the dirty U-shaped liquid level sensor, the equivalent circuit of the dirty U-shaped liquid level sensor was analyzed, and the transformer bridge's principle circuit that uses RF admittance technology was designed accordingly. Using the method of controlling a single variable, the measurement accuracy of the circuit was simulated when the dividing capacitance and the regulating capacitance had different values. Then, the right parameter values for the dividing capacitance and the regulating capacitance were found. On this basis, the change of the sensor output capacitance and the change of the length of the attached seawater mixture were controlled separately under the condition of removing the seawater mixture. The simulation outcomes showed that the measurement accuracy was excellent under various situations, validating the transformer principle bridge circuit's efficacy in minimizing the influence of the output capacitance value's lag stability.

摘要

为了研究脏污 U 型液位传感器液位下降过程中电容值滞后稳定性的问题,分析了脏污 U 型液位传感器的等效电路,并设计了相应的基于射频导纳技术的变压器电桥原理电路。采用单变量控制方法,模拟了分电容和调电容不同值时电路的测量精度。然后,找到了分电容和调电容的合适参数值。在此基础上,在去除海水混合物的情况下,分别控制传感器输出电容的变化和附着海水混合物长度的变化。仿真结果表明,在各种情况下测量精度都非常好,验证了变压器原理桥电路在最小化输出电容值滞后稳定性影响方面的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/adb1ec847f77/sensors-23-05434-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/aafe3bf19685/sensors-23-05434-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/163188715974/sensors-23-05434-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/baeeecbb1143/sensors-23-05434-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/9f4ec29e8c1e/sensors-23-05434-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/f310545f26ad/sensors-23-05434-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/b2b63c3cc6a7/sensors-23-05434-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/174239217d98/sensors-23-05434-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/b90e550097cc/sensors-23-05434-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/be6648beb688/sensors-23-05434-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/adb1ec847f77/sensors-23-05434-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/aafe3bf19685/sensors-23-05434-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/163188715974/sensors-23-05434-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/baeeecbb1143/sensors-23-05434-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/9f4ec29e8c1e/sensors-23-05434-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/f310545f26ad/sensors-23-05434-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/b2b63c3cc6a7/sensors-23-05434-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/174239217d98/sensors-23-05434-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/b90e550097cc/sensors-23-05434-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/be6648beb688/sensors-23-05434-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8986/10302334/adb1ec847f77/sensors-23-05434-g010.jpg

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