2015
DOI: 10.1109/tro.2015.2389415
|View full text |Cite
|
Sign up to set email alerts
|

The Principal Axes Decomposition of Spatial Stiffness Matrices

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… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
14
0

Year Published

2016
2016
2022
2022

Publication Types

Select...
6
3

Relationship

1
8

Authors

Journals

citations
Cited by 63 publications
(14 citation statements)
references
References 36 publications
0
14
0
Order By: Relevance
“…The result explains that when the force is a constant value and length increases, the value / decreases. By (33), when length increases, 3 decreases, indicating that when the force is a constant value and length increases, the value | / | decreases. By (34), assuming that is constant value, it can be seen that when increases, 4 also increases.…”
Section: Analysis Of Stiffness Elementsmentioning
confidence: 99%
See 1 more Smart Citation
“…The result explains that when the force is a constant value and length increases, the value / decreases. By (33), when length increases, 3 decreases, indicating that when the force is a constant value and length increases, the value | / | decreases. By (34), assuming that is constant value, it can be seen that when increases, 4 also increases.…”
Section: Analysis Of Stiffness Elementsmentioning
confidence: 99%
“…where the symmetric 3 × 3 block matrices and denote the pure rotation and translation matrices, is the coupling one, is transpose of the matrix , and a diagonal matrix; thus, there is an orthogonal matrix , making a diagonal matrix [33]; that is, (3) represents an orthogonal matrix whose columns are just the eigenvectors of matrix and…”
Section: Eigen-stiffness Analysis Of Continuum Robotmentioning
confidence: 99%
“…• Principal axis decomposition through congruence transformation was proposed by making use of the eigenvectors of the translational entry in the stiffness matrix [61].…”
Section: Stiffnessmentioning
confidence: 99%
“…Feasible options include determinant, trace, eigenvalues, norm at a given posture, etc., as proposed in Refs. [1,30,31,[33][34][35][36][37][38][39][40][41]; in the meantime, some kinematic performances, including the dexterity [7][8][9] can also be served as an indirect measure of stiffness.…”
Section: Introductionmentioning
confidence: 99%