Frequency-Domain Analysis and Optimization of Capacitive Angle Sensors

Capacitive angle sensors are crucial components in many industrial applications due to their ability to provide precise angle measurement at low cost and low power consumption. Unfortunately, their frequency-domain characteristics have yet to be thoroughly investigated. In this paper, we investigate the frequency response curves of capacitive angle sensors and find that these sensors have an optimal operating frequency. We also show that operating frequency for capacitive angle sensors does not impact systematic error, but it does impact random error. Based on our findings, we demonstrate the optimization of a candidate sensor’s operating frequency and show a 11.5% ± 1.5% (p = 95% and k = 2.14) reduction in the random error compared to the sensor operating at the typical 20 kHz frequency. The frequency-domain characteristics presented in this paper refine our understanding of capacitive angle sensors and provide guidance for sensor design and optimization.

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Publication Details

Journal
Sensors
Published
2026-09-10
DOI
https://doi.org/10.3390/s26185762
Primary Topic
Sensor Technology and Measurement Systems
Type
article
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article

Frequency-Domain Analysis and Optimization of Capacitive Angle Sensors

Xiaokang Liu, Pei Huang, Changliang Wu, Xianjie Xiao
Sensors
Sensor Technology and Measurement Systems
article

Frequency-Domain Analysis and Optimization of Capacitive Angle Sensors

Xiaokang Liu, Pei Huang, Changliang Wu, Xianjie Xiao
article en

Abstract

Capacitive angle sensors are crucial components in many industrial applications due to their ability to provide precise angle measurement at low cost and low power consumption. Unfortunately, their frequency-domain characteristics have yet to be thoroughly investigated. In this paper, we investigate the frequency response curves of capacitive angle sensors and find that these sensors have an optimal operating frequency. We also show that operating frequency for capacitive angle sensors does not impact systematic error, but it does impact random error. Based on our findings, we demonstrate the optimization of a candidate sensor’s operating frequency and show a 11.5% ± 1.5% (p = 95% and k = 2.14) reduction in the random error compared to the sensor operating at the typical 20 kHz frequency. The frequency-domain characteristics presented in this paper refine our understanding of capacitive angle sensors and provide guidance for sensor design and optimization.

SensorsVol. 26(18)
Beijing Institute of Technology (CN), Chongqing University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 8%
Sensor Technology and Measurement Systems
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