Yong-Quan Li
Yanshan University
8 Papers
19 Citations
Yong-Quan Li is an academic researcher from Yanshan University. The author has contributed to research in topics: Parallel manipulator & Redundancy (engineering). The author has an hindex of 3, co-authored 5 publications.
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Papers
Analysis of the workspace of 2-DOF spherical 5R parallel manipulator
Li-Jie Zhang,Yue-wei Niu,Yong-Quan Li,Zhen Huang +3 more
- 15 May 2006
TL;DR: The theoretical workspace of 2-DOF spherical 5R parallel manipulator has been studied and its design space was established and the shapes of theoretical workspace have been classified in the design space and expressed on the plane by using conformal transformation.
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Analysis of the Workspace and Singularity of Planar 2-DOF Parallel Manipulator with Actuation Redundancy
Li-Jie Zhang,Yong-Quan Li,Zhen Huang +2 more
- 25 Jun 2006
TL;DR: In this paper, the design space and kinematics equation are established, the inverse kinematic equation is obtained, the reachable workspace is analyzed by geometrical method in detail, the relationship between reach-able workspace and link length is obtained.
10
Dynamic analysis of spherical 5R parallel manipulator
Li-Jie Zhang,Yong-Quan Li,Ya-Qing Guo +2 more
- 18 Sep 2009
TL;DR: It is proved that the dynamic model of the spherical 5R parallel manipulator is right, which provide theoretical foundation for manufacturing sample.
4
Dynamic analysis of spherical 2-DOF parallel manipulator with actuation redundancy
Yong-Quan Li,Li-Jie Zhang,Yue-wei Niu +2 more
- 15 Aug 2011
TL;DR: In this paper, a spherical 2-DOF parallel manipulator with actuation redundancy was investigated and the inverse dynamic model of the manipulator was established by virtue of Lagrange method.
4
Variable Universe Fuzzy Controller for an Independent Metering System of Construction Machinery
TL;DR: In this paper , a variable universe fuzzy controller (VUFC) was designed for the independent metering control system (IMCS), which contains 49 fuzzy rules, and the output of the controller at any time is calculated by the weighted sum of several fuzzy rules.