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author:

Cheng, Chen (Cheng, Chen.) [1] | Yuan, Xiaojing (Yuan, Xiaojing.) [2] | Chen, Yanjie (Chen, Yanjie.) [3] (Scholars:陈彦杰) | Dang, Yu (Dang, Yu.) [4]

Indexed by:

EI Scopus SCIE

Abstract:

This paper presents a comparative study of the rigid-body inverse dynamics of a spatial redundantly actuated parallel mechanism constrained by two point contact higher kinematic pairs (HKPs). Firstly, its constrained motions are analysed comprehensively, then four different models are formulated by the generalized momentum approach and the Lagrange-D'Alembert formulation to explore its inverse dynamics. In each method, the first model is built by employing the method directly to the mechanism. In the second model, the dynamic model of its non-redundantly actuated counterpart free of HKPs is built by this approach first, then the constraints from HKPs are modelled, to finally reach the model of the redundantly actuated parallel mechanism (RAPM) where that of its counterpart is utilised as the core. The four models give rise to equivalent numerical results, and the second model in both methods of the RAPM can alleviate the strong coupling between the parasitic motion variables and degrees of freedom (DOFs), boosting the computational speed as fast as that of its non-redundantly actuated counterpart without simplification or loss of accuracy. The comparisons between the mechanism and its counterpart validate that the HKP constraints greatly increase the computational complexity, and the torques required by the parasitic motions of the end effector are significantly smaller than those by the corresponding DOFs.

Keyword:

higher kinematic pair Inverse dynamics redundant actuation spatial parallel mechanism

Community:

  • [ 1 ] [Cheng, Chen]Xian Coll Technol, Lab Mechatron, Xian 710025, Peoples R China
  • [ 2 ] [Yuan, Xiaojing]Xian Coll Technol, Lab Mechatron, Xian 710025, Peoples R China
  • [ 3 ] [Chen, Yanjie]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350116, Peoples R China
  • [ 4 ] [Dang, Yu]Nankai Univ, Inst Robot & Automatic Informat Syst, Coll Artificial Intelligence, Tianjin 300350, Peoples R China

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Source :

MECHANICS & INDUSTRY

ISSN: 2257-7777

Year: 2023

Volume: 24

1 . 2

JCR@2023

1 . 2 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:35

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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