2022 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) 2022
DOI: 10.1109/icarsc55462.2022.9784766
|View full text |Cite
|
Sign up to set email alerts
|

Improving Incremental Encoder Measurement: Variable Acquisition Window and Quadrature Phase Compensation to Minimize Acquisition Errors

Abstract: Motion control is an important task in several areas, such as robotics where the angular position and speed should be acquired, usually with encoders. For slow angular speeds, an error is introduced spoiling the measurement. In this paper there will be proposed two new methodologies, that when combined allow to increase the precision whereas reducing the error, even on transient velocities. The two methodologies Variable Acquisition Window and a Quadrature Phase Compensation are addressed and combined simultan… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 9 publications
(10 reference statements)
0
1
0
Order By: Relevance
“…Various modifications of methods for identifying the shaft encoder speed based on classical methods of processing quadrature signals are presented in [16,17], [18,19], [20,21], [22], which allow compensating or reducing measurement errors, including those caused by lack of synchronization between output pulses and sampling periods. In [18], a method for error compensation based on the use of a sliding mode observer is proposed.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Various modifications of methods for identifying the shaft encoder speed based on classical methods of processing quadrature signals are presented in [16,17], [18,19], [20,21], [22], which allow compensating or reducing measurement errors, including those caused by lack of synchronization between output pulses and sampling periods. In [18], a method for error compensation based on the use of a sliding mode observer is proposed.…”
Section: Literature Reviewmentioning
confidence: 99%