Modeling of an electromagnetic geophone with passive magnetic spring

Oome, A.J.J.A.; Janssen, J.L.G.; Encica, L.; Lomonova, E. A.; Dams, J.A.A.T.

doi:10.1016/j.sna.2009.04.019

Cited by 23 publications

(7 citation statements)

References 14 publications

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“…It uses flexural joints and a tunable fundamental frequency, strongly decoupled from the higher-order modes. Other interesting devices are presented in Cacho et al (1999), in which the rotative inertial mass has a V-shape to improve the sensitivity; Bertolini et al (1999Bertolini et al ( , 2004, in which a low-frequency oscillator is achieved with an antispring; and Oome et al (2009), in which a permanent magnet is used to compensate for the gravitational force.…”

Section: Zero-length Springmentioning

confidence: 99%

Review: Inertial Sensors for Low-Frequency Seismic Vibration Measurement

Collette¹,

Janssens²,

Fernandez-Carmona³

et al. 2012

Bulletin of the Seismological Society of America

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The objective of this paper is to review recent advances in the sensors used to measure seismic linear vibrations at low frequencies. The main types of inertial sensors are reviewed: absolute displacement sensors, geophones, accelerometers, and seismometers. The working principle of each of them is explained, along with the general strategies to extend their bandwidth. Finally, the principle fundamental limitations of all inertial sensors are reviewed: tilt-to-horizontal coupling, zerolength springs, and sources of noise.

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Section: Zero-length Springmentioning

confidence: 99%

Review: Inertial Sensors for Low-Frequency Seismic Vibration Measurement

Collette¹,

Janssens²,

Fernandez-Carmona³

et al. 2012

Bulletin of the Seismological Society of America

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show abstract

“…And, when the magnetic field model is built, the two types are discussed separately, then the analytical model should be obtained by superposition principle. [5][6][7][8] Modeling of the magnetic field of PM in radial direction Cylindrical coordinate system is built, and the coordinate origin is located at the center of the PM. Arrows r and z denote the radius direction and the vertical direction, respectively.…”

Section: Theoretical Modeling Of Electromagnetic Characteristics Of the 2-dof Electromagnetic Actuatormentioning

confidence: 99%

Research on the 2-degree-of-freedom electromagnetic actuator in space

Liu

Yang

et al. 2018

Advances in Mechanical Engineering

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To meet space science experiments in micro-gravity environment, micro-spacecraft vibration isolation technology was developed in recent years. A new kind of 2-degree-of-freedom electromagnetic actuator based on Lorentz principle was developed in this article. The composition and working principle of the actuator were introduced, the parametric model for electromagnetic actuator was established, the structural optimization was carried out with the help of genetic algorithm in the MATLAB toolbox, and the final optimal structural parameters were obtained. For achieving the magnetic induction intensity in radial and axial directions, theoretical model for electromagnetic characteristics of the 2-degree-of-freedom actuator was established, and the expression for electromagnetic force was obtained. A static electric-magnetic coupling simulation of the whole actuator and also the experiments for measuring magnetic induction and magnetic force were carried out, and the correctness of theoretical model was verified.

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“…Then the designed pole of the compensation network acts as the pole of the whole detecting system, which is consisted by the sensor and the additional compensating network. Then, the new center frequency of the detecting system could be lower than before, which will match the system requirement [9].…”

Section: Introductionmentioning

confidence: 99%

Extending Velocity Sensor Bandwidth by Compensating Temperature Dependency Based on BP Neural Network

et al. 2019

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A compensation method for a magnetoelectric velocity sensor (MVS) is always necessary, which can lower the resonance frequency of the measuring system and subsequently extend the measuring bandwidth. In this paper, a novel compensation method is proposed based on the BP neural network under the TensorFlow architecture. Comparing with the existing methods, the new method does not depend upon an accurate model of the MVS any more, whose parameters are badly influenced by the temperature. The dynamic compensator is connected with the sensor. The BP neural network algorithm is used to identify compensation parameters. The dynamic compensator works at state of the optimum parameter all the time to compensate the dynamic performance of MVS by training the weights and thresholds of the neural network. The experiment results show that velocity measurement deviation is within ±5% error band by the dynamic compensator, which can reduce the measurement deviation caused by the variation of temperature and improve the measurement accuracy. The bandwidth can be as low as 0.28Hz. The dynamic compensator is superior to Random Forests and RBF Neutral Network in implement in FPGA/CPLD. Its' accuracy is superior to zero-pole compensation method. This method leads a new way to weaken the temperature variation characteristics of the velocity sensor and improve the measurement performance. INDEX TERMS Velocity sensor, bandwidth expansion, temperature dependence, BP neural network.

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Modeling of an electromagnetic geophone with passive magnetic spring

Cited by 23 publications

References 14 publications

Review: Inertial Sensors for Low-Frequency Seismic Vibration Measurement

Review: Inertial Sensors for Low-Frequency Seismic Vibration Measurement

Research on the 2-degree-of-freedom electromagnetic actuator in space

Extending Velocity Sensor Bandwidth by Compensating Temperature Dependency Based on BP Neural Network

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