Static Decoupling Algorithm of Six-Axis Wrist Force Sensor Based on Multi-output Support Vector Regression
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1.School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China;2.School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China

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TP212.12

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    Abstract:

    As the measurement accuracy of six-axis wrist force sensor is affected by interdimensional coupling, a decoupling algorithm based on multi-output support vector regression(MSVR) is proposed. The static calibration experiment is carried out on the six-axis wrist force sensor designed by the lab, and the data processing and analysis are proceeded both on the decoupling algorithm based on MSVR and the traditional decoupling algorithm based on least square theory solving calibration matrix. Experimental results show that the decoupling algorithm proposed in this paper has features of stability, high reliability and high precision, and can effectively inhibit interdimensional coupling interference.

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Mao Chen, Gao Xiang, Xu Guozheng, Song Aiguo. Static Decoupling Algorithm of Six-Axis Wrist Force Sensor Based on Multi-output Support Vector Regression[J].,2019,34(4):736-743.

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History
  • Received:November 07,2017
  • Revised:March 06,2018
  • Adopted:
  • Online: September 01,2019
  • Published:
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