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Differential Sensing Method for Multidimensional Soft Angle Measurement Using Coiled Conductive Polymer Fiber

  • Dong Zhou
  • , Yingxiang Liu*
  • , Xintian Tang
  • , Jianguo Zhao
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • Colorado State University

Research output: Contribution to journalArticlepeer-review

Abstract

Soft robots made from soft materials can adapt to different harsh environments and ensure safety for operators. However, they require efficient sensing methods to feedback their states. In this article, a differential sensing method to measure the angle of a soft system using coiled conductive polymer fibers (CCPFs) is presented. CCPFs, which are economically fabricated and suitable for wide range measurement, can be embedded inside soft materials with high compliance. By modeling the resistance changing regulation of CCPFs, a deferential sensing method based on the resistance changing model is established to eliminate the nonlinearity and drift. A multidimensional angle control system based on the differential sensing method of CCPFs is established to verify the accuracy. The root-mean-squared error of the developed method is lower than 3.6% of the measured amplitude in the single-dimensional angle testing and about 4.3% in multidimensional angle testing. The hysteresis of CCPF sensor is reduced from 0.13 to 0.03 by the differential sensing method. This article will not only provide a reliable multidimensional angle sensing method for soft robots, but also lay a theoretical foundation for wider application for other types of resistive soft sensors.

Original languageEnglish
Article number8948368
Pages (from-to)401-411
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Volume68
Issue number1
DOIs
StatePublished - Jan 2021

Keywords

  • Bending angle
  • coiled conductive polymer fiber (CCPF)
  • soft robot
  • soft sensor
  • spatial attitude

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