2023
DOI: 10.3390/s23218695
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A Novel Angle Segmentation Method for Magnetic Encoders Based on Filtering Window Adaptive Adjustment Using Improved Particle Swarm Optimization

Lei Wang,
Xin Wei,
Pengbo Liang
et al.

Abstract: 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 metho… Show more

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Cited by 1 publication
(2 citation statements)
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“…There is no time delay in solving for angles. [19] Window Filtering Method The method proposed in this paper is more accurate. Suitable for solving the angle of various encoders with different pole pairs.…”
Section: Less Computation [18]mentioning
confidence: 99%
See 1 more Smart Citation
“…There is no time delay in solving for angles. [19] Window Filtering Method The method proposed in this paper is more accurate. Suitable for solving the angle of various encoders with different pole pairs.…”
Section: Less Computation [18]mentioning
confidence: 99%
“…It is difficult to calculate the absolute angle of the current moment because the specific interval number of the current moment can not be determined only by a multi-pole magnetic ring. Therefore, some scholars have proposed an encoder that combines single pole and multi-pole magnetic ring [15], collects the angles of single-pole and multi-pole at the same time, uses the angles of single-pole to judge the interval of multi-pole, and calculates the absolute angle by combining the angles of multi-pole. Alternatively, two multi-pole magnetic rings are combined [16], and the position difference between the two magnetic poles is used to find the final absolute angle value.…”
Section: Introductionmentioning
confidence: 99%