An Error Identification and Compensation Method of a 6-DoF Parallel Kinematic Machine

Kinematic Calibration is an effective and economical way to improve the accuracy of the six degree-of-freedom (DoF) parallel kinematic machine (PKM), named as Stewart platform, for the large component assembly in aviation or aerospace. The conventional online calibration requires a powerful and comp...

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Main Authors: Zhiyuan He, Binbin Lian, Qi Li, Yue Zhang, Yimin Song, Yong Yang, Tao Sun
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9126790/
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author Zhiyuan He
Binbin Lian
Qi Li
Yue Zhang
Yimin Song
Yong Yang
Tao Sun
author_facet Zhiyuan He
Binbin Lian
Qi Li
Yue Zhang
Yimin Song
Yong Yang
Tao Sun
author_sort Zhiyuan He
collection DOAJ
description Kinematic Calibration is an effective and economical way to improve the accuracy of the six degree-of-freedom (DoF) parallel kinematic machine (PKM), named as Stewart platform, for the large component assembly in aviation or aerospace. The conventional online calibration requires a powerful and complicated control system, whereas the current offline calibration methods are not satisfactory in terms of the compromise between efficiency and accuracy. This paper proposes a semi-online calibration method in which the geometric errors are identified offline and compensated online. The geometric errors are inserted into the inverse kinematic model. Instead of formulating the linear mapping model between geometric errors and the pose error of moving platform, the error model is written as the function of geometric errors with respect to the actuation inputs. Hence, a nonlinear error model is obtained. Without worrying about the identifiability, the error identification equations are converted into an optimization problem and solved by the hybrid genetic algorithm (HGA). In the traditional offline compensation, the identified kinematic parameters are adopted to modify the nominal kinematic model, which is inconvenient when the control system is not transparent to the users. A new control block that calculating the equivalent actuation inputs from the identified errors is added to the control flow. The errors are compensated in an efficient manner. Simulations and experiments are implemented to validate the accuracy, efficiency and convenience of the proposed method. The results indicate that our approach improves position and orientation accuracy of the Stewart platform by 85.1% and 91.0%.
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spelling doaj.art-0ef8250f1581414cb50403e322052bf32022-12-21T22:50:41ZengIEEEIEEE Access2169-35362020-01-01811903811904710.1109/ACCESS.2020.30051419126790An Error Identification and Compensation Method of a 6-DoF Parallel Kinematic MachineZhiyuan He0Binbin Lian1https://orcid.org/0000-0002-6747-8565Qi Li2Yue Zhang3Yimin Song4Yong Yang5Tao Sun6School of Mechanical Engineering, Tianjin University, Tianjin, ChinaSchool of Mechanical Engineering, Tianjin University, Tianjin, ChinaTianjin Key Laboratory of Aerospace Intelligent Equipment Technology, Tianjin, ChinaTianjin Key Laboratory of Aerospace Intelligent Equipment Technology, Tianjin, ChinaSchool of Mechanical Engineering, Tianjin University, Tianjin, ChinaTianjin Key Laboratory of Aerospace Intelligent Equipment Technology, Tianjin, ChinaSchool of Mechanical Engineering, Tianjin University, Tianjin, ChinaKinematic Calibration is an effective and economical way to improve the accuracy of the six degree-of-freedom (DoF) parallel kinematic machine (PKM), named as Stewart platform, for the large component assembly in aviation or aerospace. The conventional online calibration requires a powerful and complicated control system, whereas the current offline calibration methods are not satisfactory in terms of the compromise between efficiency and accuracy. This paper proposes a semi-online calibration method in which the geometric errors are identified offline and compensated online. The geometric errors are inserted into the inverse kinematic model. Instead of formulating the linear mapping model between geometric errors and the pose error of moving platform, the error model is written as the function of geometric errors with respect to the actuation inputs. Hence, a nonlinear error model is obtained. Without worrying about the identifiability, the error identification equations are converted into an optimization problem and solved by the hybrid genetic algorithm (HGA). In the traditional offline compensation, the identified kinematic parameters are adopted to modify the nominal kinematic model, which is inconvenient when the control system is not transparent to the users. A new control block that calculating the equivalent actuation inputs from the identified errors is added to the control flow. The errors are compensated in an efficient manner. Simulations and experiments are implemented to validate the accuracy, efficiency and convenience of the proposed method. The results indicate that our approach improves position and orientation accuracy of the Stewart platform by 85.1% and 91.0%.https://ieeexplore.ieee.org/document/9126790/Parallel kinematic machineoffline identificationonline compensationkinematic calibration
spellingShingle Zhiyuan He
Binbin Lian
Qi Li
Yue Zhang
Yimin Song
Yong Yang
Tao Sun
An Error Identification and Compensation Method of a 6-DoF Parallel Kinematic Machine
IEEE Access
Parallel kinematic machine
offline identification
online compensation
kinematic calibration
title An Error Identification and Compensation Method of a 6-DoF Parallel Kinematic Machine
title_full An Error Identification and Compensation Method of a 6-DoF Parallel Kinematic Machine
title_fullStr An Error Identification and Compensation Method of a 6-DoF Parallel Kinematic Machine
title_full_unstemmed An Error Identification and Compensation Method of a 6-DoF Parallel Kinematic Machine
title_short An Error Identification and Compensation Method of a 6-DoF Parallel Kinematic Machine
title_sort error identification and compensation method of a 6 dof parallel kinematic machine
topic Parallel kinematic machine
offline identification
online compensation
kinematic calibration
url https://ieeexplore.ieee.org/document/9126790/
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