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author:

Zhang, Jun (Zhang, Jun.) [1] | Wu, Chengyang (Wu, Chengyang.) [2] | Fang, Hanliang (Fang, Hanliang.) [3] | Sun, Zaichao (Sun, Zaichao.) [4] | Wang, Kailong (Wang, Kailong.) [5] | Tang, Tengfei (Tang, Tengfei.) [6]

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EI PKU CSCD

Abstract:

As the core module of serial-parallel hybrid machining equipment, the driving characteristics of parallel manipulators are crucial to overall system performance. A set of index is proposed to evaluate the driving characteristics of a Z4 redundantly actuated parallel manipulators. Based on the proposed indices, the task workspace is optimized and the servo torques are predicted. First, the inverse kinematics of a Z4 parallel manipulator is derived with closed-loop vector method to construct a nondimensional Jacobian matrix, which is used to evaluate kinematic isotropy. Second, a rigid-body dynamic model is established by using Lagrange method, based on which a minimum 2-norm is formulated to allocate driving forces between different limbs. By selecting the tooltip as a reference point, a set of isotropy index is defined in terms of acceleration, velocity, and dynamic cutting force as well as driving torque. Finally, the optimum task workspace and servo torques are determined based on the proposed indices. A simple experimental test is carried out to validate the selected servo-motors meet the serving requirements. © 2024 Chinese Mechanical Engineering Society. All rights reserved.

Keyword:

Acceleration Inverse kinematics Inverse problems Jacobian matrices Manipulators Torque

Community:

  • [ 1 ] [Zhang, Jun]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Wu, Chengyang]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 ] [Sun, Zaichao]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 5 ] [Wang, Kailong]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 6 ] [Tang, Tengfei]Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou; 310018, China

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机械工程学报

ISSN: 0577-6686

Year: 2024

Issue: 7

Volume: 60

Page: 66-78

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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