Literature DB >> 34208671

Alignment-Free Sensing Module for Absolute and Incremental Lines in Linear Positioning System Based on Tunneling-Magnetoresistance Sensors.

Chia-Chang Lee1, Yu-Shen Yen1, Chih-Huang Lai1.   

Abstract

An alignment-free sensing module for the positioning system based on tunneling magnetoresistive (TMR) sensors with an absolute-incremental-integrated scale is demonstrated. The sensors of the proposed system for both lines consist of identical layer stacks; therefore, all sensors can be fabricated in identical processes from thin film deposition to device patterning on a single substrate. Consequently, the relative position of the sensors can be predefined at the lithography stage and the alignment error between sensors caused by the manual installation is completely eliminated. Different from the existing sensing scheme for incremental lines, we proposed to utilize the magnetic tunnel junctions with a perpendicular anisotropy reference layer and an in-plane anisotropy sensing layer. The sensors are placed parallel to the scale plane with magnetization of the sensing layer in the plane, which show the capability of polarity detection for the absolute line and reveal sinusoidal output signal for the incremental line. Furthermore, due to the large signal of TMR, the working distance can be further improved compared with conventional sensors. In addition, the cost of the positioning system is expected to be lowered, since all the sensors are fabricated in the same process without extra installation. Our design may pave a new avenue for the positioning system based on a magnetic detection scheme.

Entities:  

Keywords:  TMR sensor; absolute and incremental integrated system; positioning system

Year:  2021        PMID: 34208671     DOI: 10.3390/s21124137

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  1 in total

1.  High-precision micro-displacement sensor based on tunnel magneto-resistance effect.

Authors:  Xuhu Wang; Wang Li; Li Jin; Meimei Gong; Junqiang Wang; Yujie Zhong; Yi Ruan; Chunhong Guo; Chenguang Xin; Mengwei Li
Journal:  Sci Rep       Date:  2022-02-22       Impact factor: 4.379

  1 in total

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