2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control 2011
DOI: 10.1109/imccc.2011.12
|View full text |Cite
|
Sign up to set email alerts
|

Error Analysis and Compensation of the Orthogonal Magnetic Encoder

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
8
0

Year Published

2014
2014
2021
2021

Publication Types

Select...
4
3

Relationship

0
7

Authors

Journals

citations
Cited by 14 publications
(8 citation statements)
references
References 1 publication
0
8
0
Order By: Relevance
“…The measured rotor positionθ r deviates from the true position value θ r due to various non-idealities [6], [7] such as the misalignment of the sensor components or Driving this signal to zero to estimate the rotor position yields, sin(θ r −θ r ) = ζ cos θ r sinθ r . (1.7)…”
Section: Non-ideal Characteristicsmentioning
confidence: 99%
“…The measured rotor positionθ r deviates from the true position value θ r due to various non-idealities [6], [7] such as the misalignment of the sensor components or Driving this signal to zero to estimate the rotor position yields, sin(θ r −θ r ) = ζ cos θ r sinθ r . (1.7)…”
Section: Non-ideal Characteristicsmentioning
confidence: 99%
“…Filtering methods for the resolver position signal can be categorized into two types: offline calibration and online filtering. In the traditional offline calibration method, a compensating look-up table (LUT) is usually constructed based on the resolver signal sampled in some specified operating conditions [4][5][6][7]. Stability and reliability are the main advantages of the offline calibration method.…”
Section: Introductionmentioning
confidence: 99%
“…The advantage of the presented method mainly lies in that it has excellent position signal filtering performance in the entire operating condition, including low speed, high speed, steady state, and dynamic. Compared with offline calibration algorithms [4][5][6][7][8], the proposed RLS-PLL-based filtering algorithm can effectively eliminate additional harmonics caused by complex electromagnetic environment in practice. The new algorithm can almost completely eliminate the specified harmonic above the bandwidth and has favorable filtering performance against the harmonics below the bandwidth.…”
Section: Introductionmentioning
confidence: 99%
“…In [1] and [2], a method for estimating the accuracy of quadrature output sensors is proposed. The reductions of the imperfections can be performed either in software or implemented with a conditional circuit that is inserted between the output sensors and interpolator [3].…”
Section: Introductionmentioning
confidence: 99%