Decoupling of Kinematic Parameter Identification for Articulated Arm Coordinate Measuring Machines | Zendy

Guanbin Gao | Zendy; Jun Zhao | Zendy; Jing Na | Zendy

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Decoupling of Kinematic Parameter Identification for Articulated Arm Coordinate Measuring Machines

Author(s) -

Guanbin Gao,

Jun Zhao,

Jing Na

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2868497

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Kinematic parameter identification is an effective method to improve the accuracy of articulated arm coordinate measuring machines (AACMMs). However, not all the parameters of AACMM can be identified accurately due to the influence of strong non-linear couplings. In this paper, we study the coupling relationship and then propose a decoupling method of AACMM parameters, which could retain the effectiveness of decoupling on parameter identification. The kinematic model of AACMM is established based on the DH method. The coupling relationship between kinematic parameters is obtained via the singular value decomposition. Then, the identification and compensation models are established. The least squares method is used to solve the identification model, and the kinematic parameters of the AACMM are identified. Simulation and experimental studies are carried out to verify the effectiveness of the proposed decoupling and identification methods. The results show that after decoupling, the accuracy of identification of the related coupling kinematic parameters is improved and the computational efficiency of identification is increased greatly.

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