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自校准绝对式模块化旋转编码器:开发与实验研究

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

作者信息

Gurauskis Donatas, Marinkovic Dragan, Mažeika Dalius, Kilikevičius Artūras

机构信息

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

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

出版信息

Micromachines (Basel). 2024 Sep 5;15(9):1130. doi: 10.3390/mi15091130.

DOI:10.3390/mi15091130
PMID:39337790
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11434417/
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%.

摘要

先进的微制造技术通过将所有必要的光学组件和电子器件集成到一个微型单芯片解决方案中,彻底改变了反射式编码器领域。当代半导体传感器可以在很宽的公差范围内工作,这使其非常适合集成到紧凑、轻便的模块化编码器套件系统中。然而,为了实现运行编码器的高精度,仍然需要精确的机械安装。为了克服这个问题并充分发挥现代传感器的潜力,开发了自校准绝对模块化旋转编码器。通过组合来自多个光学传感器的角位置读数的等分分均值(EDA)方法,用于简化安装过程并确保系统的高精度。对生产的原型编码器与参考编码器进行了实验测试,并确定了使用不同数量和排列的光学传感器时的测量偏差。获得的结果表明,该编码器能够处理安装误差,并将初始系统偏差最小化90%以上。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/475cbf332e12/micromachines-15-01130-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/1696779b0927/micromachines-15-01130-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/9190cae5d374/micromachines-15-01130-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/c1debe4811c1/micromachines-15-01130-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/2f9d5e0e4767/micromachines-15-01130-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/a66db9db8505/micromachines-15-01130-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/68a22a3354be/micromachines-15-01130-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/c8d1a950dca4/micromachines-15-01130-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/4d382dfc5f66/micromachines-15-01130-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/10e4e872701a/micromachines-15-01130-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/475cbf332e12/micromachines-15-01130-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/1696779b0927/micromachines-15-01130-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/9190cae5d374/micromachines-15-01130-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/c1debe4811c1/micromachines-15-01130-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/2f9d5e0e4767/micromachines-15-01130-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/a66db9db8505/micromachines-15-01130-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/68a22a3354be/micromachines-15-01130-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/c8d1a950dca4/micromachines-15-01130-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/4d382dfc5f66/micromachines-15-01130-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/10e4e872701a/micromachines-15-01130-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d34/11434417/475cbf332e12/micromachines-15-01130-g010a.jpg

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