Optimal multi-segment cylindrical capacitive sensor

Ahn, Hyeong-Joon; Han, Dong-Chul

doi:10.1088/0957-0233/14/5/301

Cited by 13 publications

(12 citation statements)

References 9 publications

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“…14,16 In addition, periodic (harmonic) signals can be separated using multi-sensors (or sensor array). [17][18][19] If the harmonic components are removed, we can save considerable efforts on error compensation and improve intrinsic accuracy of the sensing system. In this paper, we propose a 2D hall sensor array to measure the position of a magnet matrix by filtering harmonic components of magnetic flux of the magnet matrix.…”

Section: 35-9mentioning

confidence: 99%

2D hall sensor array for measuring the position of a magnet matrix

Ahn

Kim

2014

Int. J. of Precis. Eng. and Manuf.-Green Tech.

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Hall sensor array is used to measure the position of a magnet array and needs compensation of errors caused by manufacturing tolerances as well as harmonic components of the magnetic flux of the magnet array. This paper presents a 2D hall sensor array to measure the position of a magnet matrix by filtering harmonic components. First, 1D sensor array to filter out arbitrary number of harmonic signals is proposed and extended to 2D sensor array for the position measurement of a magnet matrix. A 2D hall sensor array for filtering both fundamental and 2 nd harmonic components of the magnetic flux and its conditioning circuit board are built to measure the position of the magnet matrix for a planar motor. Finally, performances of filtering harmonics and measuring position of the magnet matrix are experimentally verified with a XY linear motion stage. The proposed 2D hall sensor array is compatible to a sine encoder and is directly applicable to commercial motion controllers.

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Section: 35-9mentioning

confidence: 99%

2D hall sensor array for measuring the position of a magnet matrix

Ahn

Kim

2014

Int. J. of Precis. Eng. and Manuf.-Green Tech.

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“…The use of (50) makes it possible to directly estimate the whole sensor sensitivity map with a limited number of electric field determinations. In this section two classical complex geometry capacitive sensors are considered: the spindle error motion detector [13] and the water/oil fraction sensor [2,[21][22][23].…”

Section: Complex-geometry Sensorsmentioning

confidence: 99%

“…The spindle error motion detection described in [13] consists in four or more electrodes distributed around the rotor of a rotating machine as shown in figure 13(a). The capacitances between these electrodes and the rotor are measured at any time in order to detect any displacement of the rotor.…”

Section: Spindle Error Sensormentioning

confidence: 99%

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Development of a Thermal Conductivity Prediction Simulators Based on the Effects of Electron Conduction and Lattice Vibration

Tsuboi

Setogawa

Chutia

et al. 2007

jjap

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Robustness, versatility, high level of performance and low cost are some of the characteristics that make capacitive sensors well suited for industrial applications. They consist only in electrodes and measurement circuits but give access to position information and/or material properties. The design of capacitive sensors is however not so obvious so that simple structures are generally used to avoid time-consuming calculations and developments. We propose an analytical method to determine the sensitivity distribution of any capacitive sensor structure. This method makes it possible to rapidly optimize structures in order to increase the sensor sensitivity to one parameter or to render it less sensitive to another. Comparisons between the sensitivity map of known sensors and those obtained with the analytical method proposed in this paper show a great accordance.

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“…Many methods have been proposed to detect displacement or clearance over the last few decades (e.g., capacitive sensors [ 12 ], magnetic sensors [ 13 , 14 , 15 ], microwave sensors [ 16 ], optical sensors [ 17 ], and inductive sensors [ 18 , 19 , 20 ]). Compared with other methods, capacitive sensors have the advantages of high resolution and good dynamic performance [ 21 , 22 , 23 , 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Error Analysis of a Spherical Capacitive Sensor for the Micro-Clearance Detection in Spherical Joints

et al. 2020

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Spherical joints have attracted increasing interest in the engineering applications of machine tools, industrial robots, medical equipment, and so on. As one of the promising methods of detecting the micro-clearance in spherical joints, the measurement accuracy of a spherical capacitive sensor could be affected by imperfectness during the manufacturing and installation of the sensor. This work presents error analysis of a spherical capacitive sensor with a differential structure and explores the dependence of the differential capacitance on manufacturing and the installation imperfectness. Five error sources are examined: the shape of the ball and the capacitive plate, the axial and radial offset of the plate, and the inclined installation of the plate. The mathematical models for calculating the capacitance errors of the spherical capacitive sensor are deduced and validated through a simulation using Ansoft Maxwell. The results show that the measurement accuracy of the spherical capacitive sensor is significantly affected by the shape of plates and ball, the axial offset, and the inclined angle of the plate. In contrast, the effect of the radial offset of the plate is quite small.

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Optimal multi-segment cylindrical capacitive sensor

Cited by 13 publications

References 9 publications

2D hall sensor array for measuring the position of a magnet matrix

2D hall sensor array for measuring the position of a magnet matrix

Development of a Thermal Conductivity Prediction Simulators Based on the Effects of Electron Conduction and Lattice Vibration

Error Analysis of a Spherical Capacitive Sensor for the Micro-Clearance Detection in Spherical Joints

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