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Magnetic and Electromagnetic Sensors for Engineered Systems and Technologies

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: closed (30 November 2024) | Viewed by 1461

Special Issue Editor


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Guest Editor
Department of Engineering, Tohoku University, Sendai 980-8579, Japan
Interests: magnetic sensor; high-frequency measurement; biomedical sensor; magnetic nano particle; permeability measurement; electromagnetic measurement
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Because magnetic measurement and electromagnetic measurement can obtain physical information using wireless methods, they are applicable for various uses. In the special issue of "Magnetic and Electromagnetic Sensors for Engineered Systems and Technologies", the basic research study of magnetic measurement, electromagnetic measurement and related technology will be reported, which involves power electronics including motors, magnetic storage systems, bio-medical applications, the Internet of Things, non-destructive tests and energy harvest. 

Prof. Dr. Shin Yabukami
Guest Editor

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Keywords

  • magnetic sensor
  • electromagnetic sensor
  • engineered system
  • wireless
  • bio-medical
  • non-destructive test
  • energy harvest

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Published Papers (1 paper)

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Research

16 pages, 5402 KiB  
Article
Research on Sensitivity Improvement Methods for RTD Fluxgates Based on Feedback-Driven Stochastic Resonance with PSO
by Rui Wang, Na Pang, Haibo Guo, Xu Hu, Guo Li and Fei Li
Sensors 2025, 25(2), 520; https://doi.org/10.3390/s25020520 - 17 Jan 2025
Viewed by 658
Abstract
With the wide application of Residence Time Difference (RTD) fluxgate sensors in Unmanned Aerial Vehicle (UAV) aeromagnetic measurements, the requirements for their measurement accuracy are increasing. The core characteristics of the RTD fluxgate sensor limit its sensitivity; the high-permeability soft magnetic core is [...] Read more.
With the wide application of Residence Time Difference (RTD) fluxgate sensors in Unmanned Aerial Vehicle (UAV) aeromagnetic measurements, the requirements for their measurement accuracy are increasing. The core characteristics of the RTD fluxgate sensor limit its sensitivity; the high-permeability soft magnetic core is especially easily interfered with by the input noise. In this paper, based on the study of the excitation signal and input noise characteristics, the stochastic resonance is proposed to be realized by adding feedback by taking advantage of the high hysteresis loop rectangular ratio, low coercivity and bistability characteristics of the soft magnetic material core. Simulink is used to construct the sensor model of odd polynomial feedback control, and the Particle Swarm Optimization (PSO) algorithm is used to optimize the coefficients of the feedback function so that the sensor reaches a resonance state, thus reducing the noise interference and improving the sensitivity of the sensor. The simulation results show that optimizing the odd polynomial feedback coefficients with PSO enables the sensor to reach a resonance state, improving sensitivity by at least 23.5%, effectively enhancing sensor performance and laying a foundation for advancements in UAV aeromagnetic measurement technology. Full article
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