DocumentCode
763695
Title
New dimensionally homogeneous Jacobian matrix formulation by three end-effector points for optimal design of parallel manipulators
Author
Kim, Sung-Gaun ; Ryu, Jeha
Author_Institution
Dept. of Mechatronics, Kwangju Inst. of Sci. & Technol., South Korea
Volume
19
Issue
4
fYear
2003
Firstpage
731
Lastpage
736
Abstract
Development of optimal design methods for parallel manipulators is important in obtaining an optimal architecture or pose for the best kinetostatic performance. The use of performance indexes such as the condition number of the conventional Jacobian matrix that is composed of nonhomogeneous physical units, however, may lack in physical significance. In order to avoid the unit inconsistency problem in the conventional Jacobian matrix, we present a new formulation of a dimensionally homogeneous Jacobian matrix for parallel manipulators with a planar mobile platform by using three end-effector points that are coplanar with the mobile platform joints. The condition number of the new Jacobian matrix is then used to design an optimal architecture or pose of parallel manipulators for the best dexterity. An illustrative design example with a six-degree-of-freedom Gough-Stewart platform parallel manipulator by using the proposed formulation is shown to generate the same optimal configurations as those from using the other existing dimensionally homogenous Jacobian formulation methods.
Keywords
Jacobian matrices; dexterous manipulators; manipulator dynamics; Jacobian matrix; dexterity measure; dimensionally homogeneous jacobian matrix; end-effector points; optimal architecture; optimal design; parallel manipulators; six-degree-of-freedom Gough-Stewart platform; Design methodology; Equations; Jacobian matrices; Kinematics; Manipulators; Mechanical variables control; Optimal control; Performance analysis; Robots; Transmission line matrix methods;
fLanguage
English
Journal_Title
Robotics and Automation, IEEE Transactions on
Publisher
ieee
ISSN
1042-296X
Type
jour
DOI
10.1109/TRA.2003.814496
Filename
1220722
Link To Document