Detecting the position of the moving-iron solenoid by non-displacement sensor based on parameter identification of flux linkage characteristics

Wang, Xuping; Quan, Long; Guang-yu, Xiong

doi:10.3901/cjme.2013.06.1204

Cited by 11 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In summary, solenoid has became an indispensable basic component in modern industrial society, serving multiple important fields such as scientific research, energy, transportation, communication, and medical treatment. However, traditional single dense wound solenoids have some drawbacks, such as electromagnetic interference [10][11][12] , high losses [13][14][15] , large volume [16] , and edge effect problems [17][18][19][20] . It is worth noting that the edge effect of the solenoid becomes more pronounced with increasing length, which poses a challenge to its application especially in current sensing systems [21] .…”

Section: Introductionmentioning

confidence: 99%

Design and optimization of a novel solenoid with high magnetic uniformity

Zhu,

Xing,

et al. 2024

Preprint

View full text Add to dashboard Cite

Currently, solenoids are extensively utilized in various research fields due to their flexibility of fabrication and high magnetic field strength. However, the internal magnetic field of the solenoid itself exhibits some non-uniformity defects, which limits its application in some domains. In this paper, we propose a novel single-wound tightly wound solenoid structure with improved magnetic field uniformity. To optimize the magnetic field near the aperture of the conventional solenoid, an auxiliary solenoid with a gradually changing diameter is included at each end of the solenoid. By adjusting different parameters of the auxiliary solenoid, we mitigate the edge effect of the solenoid and enhance its overall magnetic field uniformity. The optimization of the auxiliary solenoids is achieved through artificial neural network techniques. Finite element simulation results with the optimized parameters show that the proportion of uniform areas can be improved by more than 5 times. The research results provide a reference for high-precision electromagnetic sensing applications based on solenoids.

show abstract

Section: Introductionmentioning

confidence: 99%

Design and optimization of a novel solenoid with high magnetic uniformity

Zhu,

Xing,

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Thus, it has gained more attention in recent years. There are three typical configurations for electromagnetic linear actuator, i.e., moving coil [8][9][10], moving magnet [11,12] and moving iron [13,14].…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of a bi-stable linear force actuator for directly-driven metering pump

Tan¹,

Li²,

Ge³

et al. 2018

Smart Mater. Struct.

View full text Add to dashboard Cite

As a kind of energy converter, high quality electromagnetic linear actuator is the focus of the research. A new flow regulation method for metering pump is proposed, a novel bi-stable linear force actuator (BLFA) is investigated corresponding to reduce power consumption and enhance drive capability. A coupling model including a loss model, an electromagnetic model and a mechanical model was constructed. The influence rule of the structural parameters on force characteristic was investigated. Through structural parameter design, force versus position characteristic is high-linearity in working area and the minimum threshold value of drive force (start-up force) reaches 139 N without spring mechanism, which effectively reduces the device’s volume. Besides, power consumption in holding phase is decreased because of holding force. Moreover, an innovative pulse current excitation mode was adopted to reduce power consumption further. Experimental and simulation results validate the static and dynamic performance of BLFA. The circulating power consumption of prototype is 3.1 J, which does not change with the working frequency and has decreased by 34% compared with the traditional excitation mode. Additionally, the advantage of BLFA’s performance was also verified with directly-driven metering pump flow characteristic experiment.

show abstract

“…None of these approaches gives a physical explanation of the failure modes related to the solenoid parameters [28]; Other models based on the movement of the armature and Foucault current [2] and the EMD winding current curve appearing with the movement of the armature [29,30] have been developed for diagnosis, but none of these models does treat electrical and mechanical parameters as a source of failure. Morever, most control approaches are using signals such as the coil current or voltage of solenoid to monitor the parameters; yet, the main problems in such approaches are that the detected signals are prone to interference and difcult to obtain [31]. Other works have been limited to the estimation and identication of a single solenoid parameter [32,22].…”

mentioning

confidence: 99%

Monitoring of solenoid parameters based on neural networks and optical fiber squeezer for solenoid valves diagnosis

Zahidi

Amrane

Azami

et al. 2021

IJECE

View full text Add to dashboard Cite

As crucial parts of various engineering systems, solenoid valves (SVs) operated by electromagnetic solenoid (EMS) are of great importance and their failure may lead to cause unexpected casualties. This failure, characterized by a degradation of the performances of the SVs, could be due to a fluctuations in the EMS parameters. These fluctuations are essentially attributed to the changes in the spring constant, coefficient of friction, inductance, and the resistance of the coil. Preventive maintenance by controlling and monitoring these parameters is necessary to avoid eventual failure of these actuators. The authors propose a new methodology for the functional diagnosis of electromagnetic solenoids (EMS) used in hydraulic systems. The proposed method monitors online the electrical and mechanical parameters varying over time by using artificial neural networks algorithm coupled with an optical fiber polarization squeezer based on EMS for polarization scrambling. First, the MATLAB/Simulink model is proposed to analyze the effect of the parameters on the dynamic EMS model. The result of this simulation is used for training the neural network, then a simulation is proposed using the neural net fitting toolbox to determine the solenoid parameters (Resistance of the coil R, stiffness K and coefficient of friction B of the spring) from the coefficients of the transfer function, established from the model step response. Future work will include not only diagnosing failure modes, but also predicting the remaining life based on the results of monitoring.

show abstract

Detecting the position of the moving-iron solenoid by non-displacement sensor based on parameter identification of flux linkage characteristics

Cited by 11 publications

References 8 publications

Design and optimization of a novel solenoid with high magnetic uniformity

Design and optimization of a novel solenoid with high magnetic uniformity

Design and analysis of a bi-stable linear force actuator for directly-driven metering pump

Monitoring of solenoid parameters based on neural networks and optical fiber squeezer for solenoid valves diagnosis

Contact Info

Product

Resources

About