Unified motion reliability analysis and comparison study of planar parallel manipulators with interval joint clearance variables

•A unified kinematic analysis method for PPMs with manufacturing tolerances, input errors and joint clearances is developed.•A unified motion reliability analysis method for PPMs with interval joint clearance variables is presented.•3RRR and 3PRR PPMs are studied to demonstrate the effectiveness of...

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Vydáno v:Mechanism and machine theory Ročník 138; s. 58 - 75
Hlavní autoři: Zhan, Zhenhui, Zhang, Xianmin, Zhang, Haodong, Chen, Gengchao
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.08.2019
Témata:
Condition number
Joint clearances
Motion reliability
Planar parallel manipulator
Uncertainties
Motion reliability
Condition number
Planar parallel manipulator
Uncertainties
Joint clearances
ISSN:0094-114X, 1873-3999
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Shrnutí:•A unified kinematic analysis method for PPMs with manufacturing tolerances, input errors and joint clearances is developed.•A unified motion reliability analysis method for PPMs with interval joint clearance variables is presented.•3RRR and 3PRR PPMs are studied to demonstrate the effectiveness of the two methods.•The LCI and motion reliability of 3RRR and 3PRR PPMs are compared. Motion reliability is a significant performance index for manipulators with uncertainties. This paper presents a unified motion reliability analysis method for general planar parallel manipulators (PPMs) with interval clearance variables of revolute and prismatic joints. The uncertainties of manufacturing and inputs are also considered and assumed to follow normal distributions. Two typical types of PPMs, 3RRR PPM and 3PRR PPM, are analyzed as examples to demonstrate the effectiveness of the method. For the purpose of a relatively fair comparison, the two PPMs are designed to have the same sizes of base platforms and moving platforms by using a traditional kinematic optimization based on the global conditioning index (GCI). Then, the comparison studies of the two PPMs are made with respect to performance indices of GCI, LCI (local conditioning index) and motion reliability. Furthermore, the index comparison between LCI and motion reliability is also carried out in detail through the two PPMs. The numerical analysis results indicate that: (i) the presented method could achieve a higher confidence estimate compared with the traditional probability method; (ii) the 3PRR PPM exhibits better motion reliability performance than the 3RRR PPM at the same uncertainty levels; and (iii) the traditional optimization based on the GCI cannot guarantee the good motion reliability performance of the PPM. This study provides support for the design and control of PPMs in terms of accuracy and motion reliability.
ISSN:0094-114X
1873-3999
DOI:10.1016/j.mechmachtheory.2019.03.041