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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:Jianguang Li,Jian Ding,Lijie Guo,Yingxue Yao,Zhaohong Yi,Huaijing Jing,Honggen Fang.Accuracy Analysis for 6-DOF PKM with Sobol Sequence Based Quasi Monte Carlo Method[J].Journal of Harbin Institute Of Technology(New Series),2015,22(5):1-8.DOI:10.11916/j.issn.1005-9113.2015.05.001.
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Accuracy Analysis for 6-DOF PKM with Sobol Sequence Based Quasi Monte Carlo Method
Author NameAffiliation
Jianguang Li School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China 
Jian Ding School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China 
Lijie Guo Shanghai Aerospace Equipments Manufacturer, Shanghai 200245, China 
Yingxue Yao School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China 
Zhaohong Yi School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China 
Huaijing Jing Shanghai Aerospace Equipments Manufacturer, Shanghai 200245, China 
Honggen Fang Shanghai Aerospace Equipments Manufacturer, Shanghai 200245, China 
Abstract:
To improve the precisions of pose error analysis for 6-dof parallel kinematic mechanism (PKM) during assembly quality control, a Sobol sequence based on Quasi Monte Carlo (QMC) method is introduced and implemented in pose accuracy analysis for the PKM in this paper. The Sobol sequence based on Quasi Monte Carlo with the regularity and uniformity of samples in high dimensions, can prevail traditional Monte Carlo method with up to 98.59% and 98.25% enhancement for computational precision of pose error statistics. Then a PKM tolerance design system integrating this method is developed and with it pose error distributions of the PKM within a prescribed workspace are finally obtained and analyzed.
Key words:  accuracy analysis  quasi monte carlo (QMC)  sobol sequence  parallel kinematic mechanism (PKM)
DOI:10.11916/j.issn.1005-9113.2015.05.001
Clc Number:TH164
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