DocumentCode
1379002
Title
A decomposition of the manipulator inertia matrix
Author
Saha, Subir Kumar
Author_Institution
Dept. of Mech. Eng., Indian Inst. of Technol., New Delhi, India
Volume
13
Issue
2
fYear
1997
fDate
4/1/1997 12:00:00 AM
Firstpage
301
Lastpage
304
Abstract
A decomposition of the manipulator inertia matrix is essential, for example, in forward dynamics, where the joint accelerations are solved from the dynamical equations of motion. To do this, unlike a numerical algorithm, an analytical approach is suggested in this paper. The approach is based on the symbolic Gaussian elimination of the inertia matrix that reveal recursive relations among the elements of the resulting matrices. As a result, the decomposition can be done with the complexity of order n, O(n), where n being the degrees of freedom of the manipulator, as opposed to an O(n3) scheme, required in the numerical approach. In turn, O(n) inverse and forward dynamics algorithms can be developed. As an illustration, an O(n) forward dynamics algorithm is presented
Keywords
computational complexity; manipulator dynamics; matrix algebra; motion control; symbol manipulation; Kalman filtering; articulated body inertia; computational complexity; forward dynamics; inertia matrix; inverse dynamics; joint accelerations; reverse Gaussian elimination; serial manipulator; symbolic decomposition; Automatic control; Books; Capacitive sensors; Friction; Gravity; Manipulator dynamics; Matrix decomposition; Nails; Robotics and automation; Service robots;
fLanguage
English
Journal_Title
Robotics and Automation, IEEE Transactions on
Publisher
ieee
ISSN
1042-296X
Type
jour
DOI
10.1109/70.563652
Filename
563652
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