Inductive Displacement Sensors with a Notch Filter for an Active Magnetic Bearing System

Chen, Seng-Chi; Le, Dinh-Kha; Nguyen, Van-Sum

doi:10.3390/s140712640

Cited by 23 publications

(18 citation statements)

References 9 publications

(17 reference statements)

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“…The displacements in any direction from rigid body motion of the train don't cause any change in the measurement from sensor. The inductive sensor frequency ranges from 10 to 20 Hz if it is working in alternating current (AC) mode and 500 Hz to 5 kHz working in direct current (DC) mode [41,42].…”

Section: Laboratory Experimental Resultsmentioning

confidence: 99%

Development of an On-Board Measurement System for Railway Vehicle Wheel Flange Wear

Turabimana

Nkundineza

2020

Sensors

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The maintenance of railway systems is critical for their safe operation. However some landscape geographical features force the track line to have sharp curves with small radii. Sharp curves are known to be the main source of wheel flange wear. The reduction of wheel flange thickness to an extreme level increases the probability of train accidents. To avoid the unsafe operation of a rail vehicle, it is important to stay continuously up to date on the status of the wheel flange thickness dimensions by using precise and accurate measurement tools. The wheel wear measurement tools that are based on laser and vision technology are quite expensive to implement in railway lines of developing countries. Alternatively significant measurement errors can result from using imprecise measurement tools such as the hand tools, which are currently utilized by the railway companies such as Addis Ababa Light Rail Transit Service (AALRTS). Thus, the objective of this research is to propose and test a new measurement tool that uses an inductive displacement sensor. The proposed system works in both static and dynamic state of the railway vehicle and it is able to save the historical records of the wheel flange thickness for further analysis. The measurement system is fixed on the bogie frame. The fixture was designed using dimensions of the bogie and wheelset structure of the trains currently used by AALRTS. Laboratory experiments and computer simulations for of the electronic system were carried out to assess the feasibility of the data acquisition and analysis method. The noises and unwanted signals due to the dynamics of the system are filtered out from the sensor readings. The results show that the implementation of the proposed measurement system can accurately measure the wheel flange wear. Also, the faulty track section can be identified using the system recorded data and the operational control center data.

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Section: Laboratory Experimental Resultsmentioning

confidence: 99%

Development of an On-Board Measurement System for Railway Vehicle Wheel Flange Wear

Turabimana

Nkundineza

2020

Sensors

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“…R and H are the autocorrelation matrix and the cross-correlation matrix, respectively. The gradient function of the objective function gradient can be written according to (4):…”

Section: Standard Lms Algorithm Principlementioning

confidence: 99%

Research on switch compensation control for maglev flywheel battery

Gao

Cao

2018

IEEJ Transactions Elec Engng

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In a maglev flywheel system, an unbalanced interference signal synchronous with the flywheel frequency will be produced because the flywheel rotor is uneven. This signal can reduce system control precision and stability, and make the system produce unbalance force vibration. Therefore, the signal should be filtered to reduce the effects on the control system. A vibration switching compensation control strategy is proposed based on the standard least mean squares (LMS) algorithm and one proportional–integral–derivative (PID) controller. The flywheel's rotational frequency is measured in real time as the switching reference, and different LMS algorithm step sizes and different PID controller parameters are adopted in different rotational frequencies. Simulation and experimental results verify the feasibility and effectiveness of the switch compensation strategy, which can reduce the control current amplitude and make the flywheel rotate around the inertial principal axis as much as possible. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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“…Unfortunately, the results obtained from simulation models are often significantly different from those collected by measurements [24]. One of the reasons behind such discrepancies is not so much related to the imperfections of the models but is due to errors caused by the measurement system.…”

Section: Introductionmentioning

confidence: 98%

An Enhanced Dynamic Simulation Model of a Hybrid Magnetic Bearing Taking Account of the Sensor Noise

Wajnert

Sykulski

Tomczuk

2020

Sensors

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The paper presents simulation and experimental verification of the hybrid magnetic bearing (HMB) performance characteristics. It has been demonstrated that the additional errors from the eddy current sensors have a significant impact on the control signals. An improved mathematical model combines a nonlinear magnetic equivalent circuit of the HMB with the ordinary differential equations of its transients. These equations describe the rotor motion and the electric circuit of the system, as well as the control system required for stable levitation of the rotor. Certain harmonics have been observed in the displacement signals of frequencies equal to the multiples of the cylinder rotations. The calculation model has, therefore, been improved, taking into account the interference of the harmonics. Simulation results were validated by comparing the time responses of the transients obtained from the numerical calculations with those measured on a real object; a satisfactory agreement between the results has been achieved.

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Inductive Displacement Sensors with a Notch Filter for an Active Magnetic Bearing System

Cited by 23 publications

References 9 publications

Development of an On-Board Measurement System for Railway Vehicle Wheel Flange Wear

Development of an On-Board Measurement System for Railway Vehicle Wheel Flange Wear

Research on switch compensation control for maglev flywheel battery

An Enhanced Dynamic Simulation Model of a Hybrid Magnetic Bearing Taking Account of the Sensor Noise

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