Self-Calibratable Absolute Modular Rotary Encoder: Development and Experimental Research

Author:

Gurauskis Donatas1ORCID,Marinkovic Dragan23ORCID,Mažeika Dalius1ORCID,Kilikevičius Artūras3ORCID

Affiliation:

1. Department of Information Systems, Vilnius Gediminas Technical University, LT-10105 Vilnius, Lithuania

2. Department of Structural Analysis, TU Berlin, 10623 Berlin, Germany

3. Institute of Mechanical Science, Vilnius Gediminas Technical University, LT-10105 Vilnius, Lithuania

Abstract

Advanced microfabrication technologies have revolutionized the field of reflective encoders by integrating all necessary optical components and electronics into a miniature single-chip solution. Contemporary semiconductor sensors could operate at wide tolerance ranges that make them ideal for integration into compact and lightweight modular encoder kit systems. However, in order to achieve the high accuracy of the operating encoder, precise mechanical installation is still needed. To overcome this issue and exploit the full potential of modern sensors, the self-calibratable absolute modular rotary encoder is developed. The equal division average (EDA) method by combining the angular position readings from multiple optical sensors is used to simplify the installation process and ensure the high accuracy of the system. The produced prototype encoder is experimentally tested vs. the reference encoder and the measurement deviations of using different numbers and arrangements of optical sensors are determined. The obtained results show encoder ability to handle the mounting errors and minimize the initial system deviation by more than 90%.

Funder

Research Council of Lithuania

Publisher

MDPI AG

Reference67 articles.

1. Study of the impact of the incremental optical encoder sensor on the dynamic performance of velocity servosystems;Kavanagh;J. Eng.,2019

2. Small-signal modelling of the incremental optical encoder for motor control;Kavanagh;IEEE Trans. Ind. Electron.,2020

3. Zero magnitude error tracking control for servo system with extremely low-resolution digital encoder;Zhang;Int. J. Mechatron. Manuf. Syst.,2018

4. Algburi, R.N.A., and Gao, H. (2019). Health assessment and fault detection system for an industrial robot using the rotary encoder signal. Energies, 12.

5. Common sensors in industrial robots: A review;Li;J. Phys. Conf. Ser.,2019

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