A simple signal conditioning scheme for inductive sensors

Kumar, P.K.; George, Boby; Kumar, V. Jagadeesh

doi:10.1109/icsenst.2013.6727705

Cited by 12 publications

(7 citation statements)

References 6 publications

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“…In this work, the sample waveform includes the static component of the coil, which does not change with temperature or proximity status [ 22 ]. Under its influence, the dynamic range of ADC cannot be maximized [ 23 ].…”

Section: Resultsmentioning

confidence: 99%

An Analog-Digital Mixed Measurement Method of Inductive Proximity Sensor

Guo

Shao

2015

Sensors

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Inductive proximity sensors (IPSs) are widely used in position detection given their unique advantages. To address the problem of temperature drift, this paper presents an analog-digital mixed measurement method based on the two-dimensional look-up table. The inductance and resistance components can be separated by processing the measurement data, thus reducing temperature drift and generating quantitative outputs. This study establishes and implements a two-dimensional look-up table that reduces the online computational complexity through structural modeling and by conducting an IPS operating principle analysis. This table is effectively compressed by considering the distribution characteristics of the sample data, thus simplifying the processing circuit. Moreover, power consumption is reduced. A real-time, built-in self-test (BIST) function is also designed and achieved by analyzing abnormal sample data. Experiment results show that the proposed method obtains the advantages of both analog and digital measurements, which are stable, reliable, and taken in real time, without the use of floating-point arithmetic and process-control-based components. The quantitative output of displacement measurement accelerates and stabilizes the system control and detection process. The method is particularly suitable for meeting the high-performance requirements of the aviation and aerospace fields.

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Section: Resultsmentioning

confidence: 99%

An Analog-Digital Mixed Measurement Method of Inductive Proximity Sensor

Guo

Shao

2015

Sensors

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“…The function of the incline is performed by a cone located on the device shaft. However, the advantages of inductive proximity sensors, such as linearity, accuracy and repeatability, need to find compromises with the slope conversion rate (usually [5][6][7][8][9][10]. It can be seen that the method of using a mechanical slope to increase the detection distance is limited.…”

Section: Introductionmentioning

confidence: 99%

An Implementation Method for an Inductive Proximity Sensor with an Attenuation Coefficient of 1

Zhao¹,

Fang²,

Yang³

et al. 2020

Energies

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In order to achieve long-distance measurement, a bridge differential inductance detection circuit is employed; on this basis, an automatic zero adjustment technique for sensors using an integral–proportional-integral controller is proposed in this work to achieve consistent product production and efficient installation and debugging, and the mathematical model of the bridge differential inductance detection circuit is established to effectively design the controller parameters. Furthermore, an implementation method for an inductive proximity sensor with an attenuation coefficient of 1 is also proposed based on the bridge differential inductance detection circuit by querying the proximity distance table in the field-programmable gate array (FPGA) to detect multiple target metal objects at the same inductive distance. Simulation and experimental results show that the proposed method is correct and effective.

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“…General IPS digital measurement methods apply sine excitation to the sensing coil and then sample the responses. It separates the resistance and inductance components of the IPS sensing coil on the basis of differences in phase and amplitude of the responses, and determines the measured distance by contrasting the setting of the threshold or look-up table [57,58]. The measurement accuracy can be improved by inhibiting the resistance temperature drift of the sensing coil, which can be output quantitatively [59].…”

Section: Introductionmentioning

confidence: 99%

Differential Structure of Inductive Proximity Sensor

Guo

Lai

Shao

et al. 2019

Sensors

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The inductive proximity sensor (IPS) is applicable to displacement measurements in the aviation field due to its non-mechanical contact, safety, and durability. IPS can increase reliability of position detection and decrease maintenance cost of the system effectively in aircraft applications. Nevertheless, the specialty in the aviation field proposes many restrictions and requirements on the application of IPS, including the temperature drift effect of the resistance component of the IPS sensing coil. Moreover, reliability requirements of aircrafts restrict the use of computational-intensive algorithms and avoid the use of process control components. Furthermore, the environment of airborne electronic equipment restricts measurements driven by large current and proposes strict requirements on emission tests of radio frequency (RF) energy. For these reasons, a differential structured IPS measurement method is proposed in this paper. This measurement method inherits the numerical separation of the resistance and inductance components of the IPS sensing coil to improve the temperature adaptation of the IPS. The computational complexity is decreased by combining the dimension-reduced look-up table method to prevent the use of process control components. The proposed differential structured IPS is equipped with a differential structure of distant and nearby sensing coils to increase the detection accuracy. The small electric current pulse excitation decreases the RF energy emission. Verification results demonstrate that the differential structured IPS realizes the numerical decoupling calculation of the vector impedance of the sensing coil by using 61 look-up table units. The measuring sensitivity increased from 135.5 least significant bits (LSB)/0.10 mm of a single-sensing-coil structured IPS to 1201.4 LSB/0.10 mm, and the linear approximation distance error decreased from 99.376 μm to −3.240 μm. The proposed differential structured IPS method has evident comparative advantages compared with similar measuring techniques.

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A simple signal conditioning scheme for inductive sensors

Cited by 12 publications

References 6 publications

An Analog-Digital Mixed Measurement Method of Inductive Proximity Sensor

An Analog-Digital Mixed Measurement Method of Inductive Proximity Sensor

An Implementation Method for an Inductive Proximity Sensor with an Attenuation Coefficient of 1

Differential Structure of Inductive Proximity Sensor

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