DocumentCode :
41476
Title :
The Principal Axes Decomposition of Spatial Stiffness Matrices
Author :
Genliang Chen ; Hao Wang ; Zhongqin Lin ; Xinmin Lai
Author_Institution :
Shanghai Key Lab. of Digital Manuf. for ThinWalled Struct., Shanghai Jiao Tong Univ., Shanghai, China
Volume :
31
Issue :
1
fYear :
2015
fDate :
Feb. 2015
Firstpage :
191
Lastpage :
207
Abstract :
This paper presents an alternative decomposition of spatial stiffness matrices based on the concept of compliant axes. According to the congruence transformation of spatial stiffness, the coordinate-invariant aspects, which are referred to as the central principal components of the 6 × 6 symmetric positive semidefinite matrices, can be derived uniquely. The proposed decomposition is free from the eigenvalue problems of the 6 × 6 stiffness matrices so that both Plücker´s ray and axis coordinates can be utilized to characterize the elastic system´s force-deflection behavior. Hence, an arbitrary spatial stiffness matrix can be uniquely decomposed into two sets of orthogonal spring wrenches with finite and infinite pitches, respectively. The decomposed wrenches with finite pitches correspond to the stiffness´ wrench-compliant axes, along which linear deformations produce only wrenches parallel to them. As a result, three torsional and three screw springs are required, at the most, to realize a given spatial stiffness. Using the principal axes decomposition, some physical appreciations, such as the center of stiffness, the wrench-compliant axes, and the correspondence of compliance and stiffness, can be derived to reveal the inherent structure of spatial stiffness in an intuitive manner. In order to verify the effectiveness of the proposed method, two numerical examples are intensively studied with comparison to the eigenscrew decomposition. In addition, a potential application of the proposed stiffness decomposition method is also provided for the structural compliance modeling of flexible links in robot manipulators.
Keywords :
eigenvalues and eigenfunctions; manipulator dynamics; manipulators; matrix algebra; principal component analysis; 6 × 6 symmetric positive semidefinite matrices; central principal components; compliant axes; congruence transformation; coordinate-invariant aspects; eigenscrew decomposition; eigenvalue problems; flexible links; force-deflection behavior; orthogonal spring wrenches; principal axes decomposition; robot manipulators; screw springs; spatial stiffness matrices; wrench-compliant axes; Eigenvalues and eigenfunctions; Fasteners; Matrix decomposition; Robot kinematics; Springs; Symmetric matrices; Center of stiffness/compliance; force–deflection behavior; force???deflection behavior; spatial stiffness matrix; wrench-compliant axis;
fLanguage :
English
Journal_Title :
Robotics, IEEE Transactions on
Publisher :
ieee
ISSN :
1552-3098
Type :
jour
DOI :
10.1109/TRO.2015.2389415
Filename :
7027186
Link To Document :
بازگشت