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Magnetoelectric Sensors and Their Applications

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

Deadline for manuscript submissions: 25 October 2025 | Viewed by 2413

Special Issue Editor

Department of Engineering Education, College of Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
Interests: nondestructive inspection; nondestructive evaluation; mixed-mode ultrasonics; magnetic materials; magnetic phenomena; magnetic sensors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce a Special Issue of Sensors on magnetoelectric sensors and their applications. Our focus spans from the nuanced theoretical frameworks of material synthesis to sensor construction and operation to empirical investigations into composite or intrinsic sensor performance. From low-noise DC magnetic field measurements to cutting-edge high-frequency active noise rejection techniques, magnetoelectric sensors offer a broad spectrum of applications. We invite contributions that explore the theoretical foundations of sensor design, offer empirical insights into sensor functionality, or introduce novel applications in sensing, noise rejection, or communication.

Dr. David Gray
Guest Editor

Manuscript Submission Information

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Keywords

  • magnetoelectric

  • magnetic field sensors
  • multiferroic
  • low-noise sensing
  • noise rejection
  • materials synthesis
  • device fabrication

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Published Papers (2 papers)

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Research

18 pages, 7712 KiB  
Article
Development of a Multi-Channel Ultra-Wideband Electromagnetic Transient Measurement System
by Shaoyin He, Xiangyu Chen, Bohao Zhang and Liang Song
Sensors 2025, 25(4), 1159; https://doi.org/10.3390/s25041159 - 14 Feb 2025
Viewed by 649
Abstract
In complex electromagnetic environments, such as substations, converter stations in power systems, and the compartments of aircraft, trains, and automobiles, electromagnetic immunity testing is crucial. It requires that the electric field sensor has features such as a large dynamic measurement range (amplitude from [...] Read more.
In complex electromagnetic environments, such as substations, converter stations in power systems, and the compartments of aircraft, trains, and automobiles, electromagnetic immunity testing is crucial. It requires that the electric field sensor has features such as a large dynamic measurement range (amplitude from hundreds of V/m to tens of kV/m), a fast response speed (response time in the order of nanoseconds or sub-nanoseconds), a wide test bandwidth (DC to 1 GHz even above), miniaturization, and robustness to strong electromagnetic interference. This paper introduces a multi-channel, ultra-wideband transient electric field measurement system. The system’s analog bandwidth covers the spectrum from DC and a power frequency of 50 Hz to partial discharge signals, from DC to 1.65 GHz, with a storage depth of 2 GB (expandable). It overcomes issues related to the instability, insufficient bandwidth, and lack of accuracy of optical fibers in analog signal transmission by using front-end digital sampling based on field-programmable gate array (FPGA) technology and transmitting digital signals via optical fibers. This approach is effectively applicable to measurements in strong electromagnetic environments. Additionally, the system can simultaneously access four channels of signals, with synchronization timing reaching 300 picoseconds, can be connected to voltage and current sensors simultaneously, and the front-end sensor can be flexibly replaced. The performance of the system is verified by means of a disconnect switch operation and steady state test in an HVDC converter station. It is effectively applicable in scenarios such as the online monitoring of transient electromagnetic environments in high-voltage power equipment, fault diagnosis, and the precise localization of radiation sources such as partial discharge or intentional electromagnetic interference (IEMI). Full article
(This article belongs to the Special Issue Magnetoelectric Sensors and Their Applications)
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50 pages, 12756 KiB  
Article
A New Paradigm in AC Drive Control: Data-Driven Control by Learning Through the High-Efficiency Data Set—Generalizations and Applications to a PMSM Drive Control System
by Madalin Costin and Ion Bivol
Sensors 2024, 24(22), 7313; https://doi.org/10.3390/s24227313 - 15 Nov 2024
Viewed by 1181
Abstract
This paper presents a new means to control the processes involving energy conversion. Electric machines fed by electronic converters provide a useful power defined by the inner product of two generalized energetic variables: effort and flow. The novelty in this paper is controlling [...] Read more.
This paper presents a new means to control the processes involving energy conversion. Electric machines fed by electronic converters provide a useful power defined by the inner product of two generalized energetic variables: effort and flow. The novelty in this paper is controlling the desired energetic variables by a Data-Driven Control (DDC) law, which comprises the effort and flow and the corresponding process control. The same desired useful power might be obtained with different controls at different efficiencies. Solving the regularization problem is based on building a knowledge database that contains the maximum efficiency points. Knowing a reasonable number of optimal efficiency operation points, an interpolation Radial Base Function (RBF) control was built. The RBF algorithm can be found by training and testing the optimal controls for any admissible operation points of the process. The control scheme developed for Permanent Magnet Synchronous Motor (PMSM) has an inner DDC loop that performs converter control based on measured speed and demanded torque by the outer loop, which handles the speed. A comparison of the DDC with the Model Predictive Control (MPC) of the PMSM highlights the advantages of the new control method: the method is free from the process nature and guarantees higher efficiency. Full article
(This article belongs to the Special Issue Magnetoelectric Sensors and Their Applications)
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