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Kinematic calibration of a 5-DOF double-driven parallel mechanism with sub-closed loop on limbs

Published online by Cambridge University Press:  14 October 2024

Xuhao Wang
Affiliation:
College of Aeronautical Engineering, Civil Aviation University of China, Tianjin, China
Shuo Sun
Affiliation:
College of Aeronautical Engineering, Civil Aviation University of China, Tianjin, China
Mengli Wu*
Affiliation:
College of Aeronautical Engineering, Civil Aviation University of China, Tianjin, China
Yiran Cao
Affiliation:
College of Aeronautical Engineering, Civil Aviation University of China, Tianjin, China
Zhiyong Guo
Affiliation:
College of Aeronautical Engineering, Civil Aviation University of China, Tianjin, China
Zefu Liu
Affiliation:
College of Aeronautical Engineering, Civil Aviation University of China, Tianjin, China
*
Corresponding author: Mengli Wu; Email: [email protected]

Abstract

This paper proposes a kinematic calibration method of a novel 5-degree-of-freedom double-driven parallel mechanism with the sub-closed loop on limbs. At first, considering the introduction of a sub-closed loop significantly increased the complexity and difficulty of kinematic error modeling, an equivalent transformation method is proposed for the limb with a sub-closed loop. Then kinematic error model of the parallel mechanism is established based on the closed-loop vector method and parasitic motion analysis, which is verified by virtual prototype technology. Because the full kinematic error model is generally redundant, error parameter identifiability analysis is carried out by QR decomposition of the identification Jacobian matrix, and the redundant parameters are removed. Additionally, the Sequence Forward Floating Search algorithm is utilized to optimize measurement configurations to reduce the influence of measurement noise. Finally, with a laser tracker as the measuring device, numerical simulations and experiments are implemented to verify the proposed kinematic calibration method. The experiment results show that average position and orientation errors are reduced from 2.778 mm and 1.115° to 0.263 mm and 0.176°, respectively, within the prescribed workspace.

Type
Research Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press

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