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author:

Jiang, Shujia (Jiang, Shujia.) [1] | Chi, Changcheng (Chi, Changcheng.) [2] | Fang, Hanliang (Fang, Hanliang.) [3] | Tang, Tengfei (Tang, Tengfei.) [4] | Zhang, Jun (Zhang, Jun.) [5]

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Abstract:

Zero offsets and geometric source errors will significantly degrade the kinematic accuracy of redundantly actuated parallel manipulators (RAPMs). To relieve the influences of these factors, this paper presents a minimal-error-model based two-step kinematic calibration methodology for this type of parallel manipulators. A novel 3-DOF spindle head with a 2UPR&2RPS topology is taken as an example to demonstrate the kinematic calibration methodology. The proposed kinematic calibration methodology includes three critical steps: (1) a set of general principles is proposed to eliminate redundant geometric source errors in the manipulator to derive a minimal error model that includes the least number of geometric source errors; (2) a sensitivity analysis is carried out using the Monte-Carlo simulation to reveal the relative impact of geometric source errors on the terminal accuracy; (3) a hierarchical identification strategy composed of a coarse identification and a fine identification is proposed, based on which a two-step calibration methodology is constructed. Finally, a set of calibration experiments is performed to verify the effectiveness of the proposed calibration methodology. © 2021

Keyword:

Calibration Errors Geometry Intelligent systems Kinematics Manipulators Monte Carlo methods Sensitivity analysis

Community:

  • [ 1 ] [Jiang, Shujia]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Chi, Changcheng]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Fang, Hanliang]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 4 ] [Tang, Tengfei]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 5 ] [Zhang, Jun]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China

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Source :

Mechanism and Machine Theory

ISSN: 0094-114X

Year: 2022

Volume: 167

5 . 2

JCR@2022

4 . 5 0 0

JCR@2023

ESI HC Threshold:66

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 14

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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