Research of current studying status and developing trend of decoupling algorithm for six-axis force/torque sensor

DOI

10.2991/aest-16.2016.85How to use a DOI?

Keywords

six-axis force sensor; decoupling algorithm; genetic algorithm; neural network.

Abstract

For different structures of sensor have many decoupling algorithms, this paper discusses mainly from two aspects the decoupling algorithm of six-axis force/torque sensor. One is the linear decoupling which is under the assumption that the sensor system is a linear system, another is the nonlinear decoupling which is under the assumption that the sensor system is a nonlinear system. The paper also analyzes and compares several commonly used decoupling algorithms of six-axis force/torque sensor from the aspects of decoupling effects and the accuracy of measurement, thus providing some academic bases and references for the further research of decoupling algorithm. Besides, taking the appropriate and effective decoupling algorithm can improve the measuring accuracy of the sensor to the largest extent, and meet the requirements for sensors reaching high-level, precise and sophisticated performances. Finally, the decoupling algorithms for six-axis force/torque sensor are summarized and its research direction can be foretold.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Binbin Han
AU  - Yingjun Li
AU  - Guicong Wang
PY  - 2016/11
DA  - 2016/11
TI  - Research of current studying status and developing trend of decoupling algorithm for six-axis force/torque sensor
BT  - Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SP  - 638
EP  - 642
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.85
DO  - 10.2991/aest-16.2016.85
ID  - Han2016/11
ER  -