4.6 Article

Joint Stiffness Identification and Deformation Compensation of Serial Robots Based on Dual Quaternion Algebra

Journal

APPLIED SCIENCES-BASEL
Volume 9, Issue 1, Pages -

Publisher

MDPI
DOI: 10.3390/app9010065

Keywords

industrial robot; robot kinematic; stiffness identification; dual quaternion algebra; deformation compensation

Funding

  1. National Natural Science Foundation of China [61673134]
  2. Natural Science Foundation of Heilongjiang Province of China [LC2017022]

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As the application of industrial robots is limited by low stiffness that causes low precision, a joint stiffness identification algorithm for serial robots is presented. In addition, a deformation compensation algorithm is proposed for the accuracy improvement. Both of these algorithms are formulated by dual quaternion algebra, which offers a compact, efficient, and singularity-free way in robot analysis. The joint stiffness identification algorithm is derived from stiffness modeling, which is the combination of the principle of virtual work and dual quaternion algebra. To validate the effectiveness of the proposed identification algorithm and deformation compensation algorithm, an experiment was conducted on a dual arm industrial robot SDA5F. The robot performed a drilling operation during the experiment, and the forces and torques that acted on the end-effector (EE) of both arms were measured in order to apply the deformation compensation algorithm. The results of the experiment show that the proposed identification algorithm is able to identify the joint stiffness parameters of serial industrial robots, and the deformation compensation algorithm can improve the accuracy of the position and orientation of the EE. Furthermore, the performance of the forces and torques that acted on the EE during the operation were improved as well.

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