PMID- 37960395
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231117
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 23
IP  - 21
DP  - 2023 Oct 25
TI  - A Novel Angle Segmentation Method for Magnetic Encoders Based on Filtering Window 
      Adaptive Adjustment Using Improved Particle Swarm Optimization.
LID - 10.3390/s23218695 [doi]
LID - 8695
AB  - 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 degrees , and the accuracy is 0.045 degrees .
FAU - Wang, Lei
AU  - Wang L
AD  - School of Mechanical and Power Engineering, Harbin University of Science and 
      Technology, Harbin 150080, China.
FAU - Wei, Xin
AU  - Wei X
AD  - School of Mechanical and Power Engineering, Harbin University of Science and 
      Technology, Harbin 150080, China.
FAU - Liang, Pengbo
AU  - Liang P
AD  - School of Mechanical and Power Engineering, Harbin University of Science and 
      Technology, Harbin 150080, China.
FAU - Zhang, Yongde
AU  - Zhang Y
AUID- ORCID: 0000-0003-4602-1563
AD  - School of Mechanical and Power Engineering, Harbin University of Science and 
      Technology, Harbin 150080, China.
FAU - Hao, Shuanghui
AU  - Hao S
AD  - School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 
      150001, China.
LA  - eng
GR  - 2022ZX01A19/Heilongjiang Key Research and Development Plan/
GR  - LH2023E083/Heilongjiang Provincial Natural Science Foundation Joint Guidance 
      Project/
PT  - Journal Article
DEP - 20231025
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
PMC - PMC10649074
OTO - NOTNLM
OT  - accuracy
OT  - combined magnetic encoder
OT  - improved particle swarm optimization
OT  - resolution
OT  - virtual cutting
COIS- The authors declare no conflict of interest.
EDAT- 2023/11/14 06:43
MHDA- 2023/11/14 06:44
PMCR- 2023/10/25
CRDT- 2023/11/14 02:19
PHST- 2023/08/04 00:00 [received]
PHST- 2023/09/23 00:00 [revised]
PHST- 2023/09/29 00:00 [accepted]
PHST- 2023/11/14 06:44 [medline]
PHST- 2023/11/14 06:43 [pubmed]
PHST- 2023/11/14 02:19 [entrez]
PHST- 2023/10/25 00:00 [pmc-release]
AID - s23218695 [pii]
AID - sensors-23-08695 [pii]
AID - 10.3390/s23218695 [doi]
PST - epublish
SO  - Sensors (Basel). 2023 Oct 25;23(21):8695. doi: 10.3390/s23218695.