2019
DOI: 10.1109/tie.2018.2866088
|View full text |Cite
|
Sign up to set email alerts
|

An Adaptive Linear-Neuron-Based Third-Order PLL to Improve the Accuracy of Absolute Magnetic Encoders

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
18
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 43 publications
(18 citation statements)
references
References 31 publications
0
18
0
Order By: Relevance
“…6. hwe is regulated online by means of the fundamental frequency to be controlled, which can be calculated by the phase locked loop (PLL) algorithm [29]. The method is employed widely because it offers the merits of frequency adaption and the integrators can be discretised separately.…”
Section: Figure 5. Bode Diagram For the Resonant Controllermentioning
confidence: 99%
“…6. hwe is regulated online by means of the fundamental frequency to be controlled, which can be calculated by the phase locked loop (PLL) algorithm [29]. The method is employed widely because it offers the merits of frequency adaption and the integrators can be discretised separately.…”
Section: Figure 5. Bode Diagram For the Resonant Controllermentioning
confidence: 99%
“…The joint magnetic encoder is installed on-site, and there is no systematic calibration. Relevant compensation methods were studied [40], [41], and we used a second-order function to compensate for the error directly:…”
Section: B Position Transmission Modelmentioning
confidence: 99%
“…Consequently, these methods are unstable given a frequency change of the input or reference signals [13], [14]. Therefore, alternative techniques, such as adaptive bandwidth or adaptive learning rate based on the frequency estimation, are needed to compensate for the approximation error [15]- [17]. However, the frequency estimation is heavily affected by random noise that comes from many sources, such as electromagnetic field fluctuation, and temperature variation.…”
Section: Introductionmentioning
confidence: 99%