Type synthesis of parallel mechanisms with a constant Jacobian matrix

Yanzhi Zhao, Yachao Cao, Xianwen Kong, Tieshi Zhao

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Jacobian matrix plays a key role in the analysis, design, and control of robots. For example, it can be used for the performance analysis and evaluation of parallel mechanisms (PMs). However, the Jacobian matrix of a PM generally varies with the poses of the moving platform in the workspace. This leads to a nonconstant performance index of the PM. PMs with a constant Jacobian matrix have simple kinematics and are easy to design and control. This paper proposes a method for obtaining PMs with a constant Jacobian matrix. First, the criteria for detecting invariance of a Jacobian matrix are obtained based on the screw theory. An approach to the synthesis of PMs with a constant Jacobian matrix is then proposed. Using this approach, PMs with a constant Jacobian matrix are synthesized in two steps: the limb design and the combination of the limbs. Several PMs with a constant Jacobian matrix are obtained. In addition to the translational parallel mechanisms (TPMs) with a constant Jacobian matrix in the literature, the mixed-motion PMs whose moving platform can both translate and rotate with a constant Jacobian matrix are newly identified. The input/output velocity analysis of several PMs is presented to verify that Jacobian matrix of these PMs is constant.

Original languageEnglish
Article number061011
JournalJournal of Mechanisms and Robotics
Volume10
Issue number6
Early online date25 Sep 2018
DOIs
Publication statusPublished - Dec 2018

ASJC Scopus subject areas

  • Mechanical Engineering

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