Study on high precision magnetic encoder based on the arctangent cross-intervals tabulation method

Wang, Lei; Li, Ping; Qiao, Ying; Hao, Shuai; Hao, Minghui

doi:10.1080/1448837x.2017.1285266

Cited by 7 publications

(5 citation statements)

References 11 publications

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“…Finally, an accuracy test and resolution test were carried out on the experimental platform of the control system, and the results were compared with those obtained via the cross-interval tabulation method [26] under the same experimental conditions. The test results indicate that the angle segmentation method proposed in this paper can effectively solve the issue of the appearance of jump points, and a resolution of 0.05 • and accuracy of 0.045 • can be reached.…”

Section: Discussionmentioning

confidence: 99%

“…The angle deviation compensation table obtained by the cross-interval tabulation method [26] is shown in Figure 13a,b and shows the differential value of each point. What seems self-evident is that there remains a lot of high-frequency noise in Figure 13a, which is represented by the differential value of each point in Figure 13b.…”

Section: Linear Interpolation Compensation Tabulation Methods Based O...mentioning

confidence: 99%

“…Compared with cross-interval tabulation employed in the arctangent method [26], the compensation method based on virtual cutting enables the angle of the magnetic encoder to remain high.…”

Section: Referencementioning

confidence: 99%

“…The encoder is coaxial with the high-precision photoelectric encoder, and their angle values are output simultaneously. When the angle value of the photoelectric encoder with a resolution of 2 16 was set as a baseline, the angle error corrections of the magnetic encoder were completed by employing the method presented in this paper and the method in [26]. The angle values of the two types of encoders were obtained, as shown in Figure 17.…”

Section: The Accuracy Testmentioning

confidence: 99%

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A Novel Angle Segmentation Method for Magnetic Encoders Based on Filtering Window Adaptive Adjustment Using Improved Particle Swarm Optimization

Wang,

Wei,

Liang

et al. 2023

Sensors

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In this paper we outline newly-developed control algorithms, designed to achieve high-precision feedback for a motor control system using a magnetic encoder. The magnetic encoder, combing single-pole and multi-pole magnetic steels, was adopted to extend the resolution of the magnetic encoder. First, with a view to settling the issue of the jump points of the multi-pole angle value at the convergence of two adjacent magnetic poles, the angle segmentation method, which uses the window filter discrimination method, is employed to determine the actual angle value. The appropriate filter window width is selected via the improved particle swarm optimization (IPSO) algorithm, and an expanded resolution is achieved. Second, a compensation table is completed via a linear compensation algorithm based on virtual cutting to enhance the accuracy of the combined magnetic encoder. On this basis, a linear difference algorithm is used to achieve deviation correction of the angle. Finally, the jump points can be restrained effectively via the angle segmentation method. The resolution reaches 0.05°, and the accuracy is 0.045°.

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Section: Discussionmentioning

confidence: 99%

Section: Linear Interpolation Compensation Tabulation Methods Based O...mentioning

confidence: 99%

“…Compared with cross-interval tabulation employed in the arctangent method [26], the compensation method based on virtual cutting enables the angle of the magnetic encoder to remain high.…”

Section: Referencementioning

confidence: 99%

Section: The Accuracy Testmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Angle Segmentation Method for Magnetic Encoders Based on Filtering Window Adaptive Adjustment Using Improved Particle Swarm Optimization

Wang,

Wei,

Liang

et al. 2023

Sensors

Self Cite

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show abstract

“…By comparing the single-pole and multipole angle values at normal temperature, we can obtain the angle deviation between them, which we can use to generate the error compensation table of the angle values. To eliminate noise signals and ensure the precision of the compensation table, the oversampling linear interpolation tabulation method was utilized [22] according to the principle of oversampling. First, the sampling points were divided into 512 intervals based on the single-pole angle value (high 9 bits of single-pole angle value), and a coordinate system was established that made the interval number the abscissa, and the angle deviation between the single-pole angle value and multipole angle value the ordinate.…”

mentioning

confidence: 99%

Suppression Method of Jump Points for Multipole Magnetic Encoder at Low Temperature Based on Single-Pole Angle Value Fitting

et al. 2019

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To eliminate the jump points of multipole angle values after subdivision at low temperature, the magnetic field and temperature field characteristics of a multipole magnetic encoder are analyzed in this study, and the effect of changes in magnetic field strength and temperature field on the precision of angle values is studied. To eliminate the jump point of multipole angle values caused by changes in the temperature field, the suppression method based on single-pole angle value fitting is proposed. The error between the single-pole and multipole angle values is tabulated by the oversampling linear interpolation method, and the precision of fitting single-pole to multipole angle values is effectively improved. The error of the angle value caused by changes in the temperature field is studied and analyzed, and the relationship between the jump angle values and the pole number of the multipole magnetic encoder is obtained. Furthermore, the jump point is compensated for by the jump range of the multipole angle values. Finally, the angle accuracy of the multipole magnetic encoder in a cryogenic chamber is experimentally verified. The experimental results show that the low-temperature jump point compensation method proposed for the multipole magnetic encoder in this paper can effectively suppress the jump of the angle values.

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Joint module angle error analysis and modelling of self-driven articulated arm coordinate measuring machine

et al. 2022

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Study on high precision magnetic encoder based on the arctangent cross-intervals tabulation method

Cited by 7 publications

References 11 publications

A Novel Angle Segmentation Method for Magnetic Encoders Based on Filtering Window Adaptive Adjustment Using Improved Particle Swarm Optimization

A Novel Angle Segmentation Method for Magnetic Encoders Based on Filtering Window Adaptive Adjustment Using Improved Particle Swarm Optimization

Suppression Method of Jump Points for Multipole Magnetic Encoder at Low Temperature Based on Single-Pole Angle Value Fitting

Joint module angle error analysis and modelling of self-driven articulated arm coordinate measuring machine

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