Abstract
The accuracy problem is one of the most concerning problems for the industrial application of a Stewart platform, and kinematic calibration is a feasible way to solve it. Although various calibration methods have been proposed, there is still room for improvement in the accuracy and robustness of these studies. In this article, a dimensionless error model is investigated, and the kinematic parame-ter errors are identified via the least-square method. Moreover, a novel method for measurement configurations selected based on the joint space is proposed. The simulation results show that the identification accuracy of the proposed method is better than that of the conventional method whose measurement configurations are uniformly selected in the workspace. A measurement method of the calibration experiment is suggested by the AICON 3D system - MoveInspect XR. The experimental results indicate that the position and orientation accuracy of the proposed method enhanced by 5% and 11% relative to the uniform selection method.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
