Optimizing damping ratio in capacitive sensors to enhance accuracy and reduce noise

Zine Ghemari (), Mabrouk Defdaf, Salah Belkhiri, Mohamed Razi Morakchi and Nacer Belhout
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Zine Ghemari: University of M’sila
Mabrouk Defdaf: University of M’sila
Salah Belkhiri: University of M’sila
Mohamed Razi Morakchi: Université de M’sila
Nacer Belhout: Université de Annaba

International Journal of System Assurance Engineering and Management, 2025, vol. 16, issue 1, No 8, 113-127

Abstract: Abstract This paper presents a novel approach to optimizing damping in capacitive sensors to improve their accuracy, response time, and noise reduction. Both simulation and experimental methods were employed to evaluate the effectiveness of the proposed optimization techniques. The sensor’s accuracy was assessed by comparing the final displacement values from both the simulation and experimental data, yielding minimal discrepancies. The response time, defined as the time required for the sensor to stabilize after oscillations, was significantly improved by adjusting damping rates. Additionally, signal noise was analyzed by quantifying the error between the simulated and experimental data, revealing small, random deviations primarily caused by external disturbances. The results demonstrate that optimizing the damping characteristics enhances sensor performance, making the system more responsive, accurate, and reliable for high-precision applications. This study confirms the potential of simulation models for predictive analysis and optimization, offering insights into improving capacitive sensor designs for diverse industrial and technological applications.

Keywords: Damping rate; Measurement; Capacitive sensor; Error (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s13198-024-02661-9

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